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SOX Data Analytics & AI Manager
SofiSan Francisco, CA
$115,200 - $216,000 / year
Employee Applicant Privacy Notice Who we are: Shape a brighter financial future with us. Together with our members, we're changing the way people think about and interact with personal finance. We're a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we're at the forefront. We're proud to come to work every day knowing that what we do has a direct impact on people's lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world. The role: The Sarbanes-Oxley (SOX) Program Management Office (PMO) and Testing Group at SoFi is part of the Controllership and is responsible for ensuring the company has the necessary internal control and assessment elements in place to meet the SOX requirements. The PMO facilitates risk assessment and scoping to determine project scope of each reporting year, then prepares the internal control assessment plan and accompanying timeline, inclusive of scheduling and conducting walkthroughs for each process and control, and updating corresponding control description and process flowcharts.The Testing team facilitates all SOX management assessments for SoFi and its subsidiaries by attending control walkthroughs and conducting testing for all in-scope systems and controls. The IT Testing team performs testing over IT General Control, IT Automated Controls, Key Reports and IT-related Entity Level Controls. The Data Analytics team develops and implements testing automations, evaluates new technologies and supports reporting and dashboarding for the SOX Audit. Responsibilities for the SOX Data Analytics & AI Manager, include, but are not limited to, identifying, developing and implementing data analytics and automation solutions for the SOX PMO & Testing teams, partnering with external stakeholders to implement automation solutions related to SOX controls, providing oversight of the SOX Data Analytics program, and assisting the SOX PM with reporting as needed. The SOX Data Analytics & AI Manager will report to the SOX IT Testing & Data Analytics Senior Manager, and will work with a mix of direct, indirect, and external team members to execute the program, including the SOX PMO IT Sr Manager and PMO team, to employ strategic and critical thinking skills to develop data analytics and automations. SoFi's fast pace of growth provides career development (e.g., work directly with senior and executive management) and learning opportunities (e.g., new system implementations) considering the role's enterprise-wide exposure. What you'll do: Use data analytics, automation techniques and AI to increase efficiency and effectiveness in the SOX program execution (e.g., risk assessments, testing, fraud risk detection, deficiency analysis), program analytics/monitoring as well advise the business control owners on mechanisms to automate controls. Develop, Build and Lead the SOX Data Analytics and AI program Create SOX Data Analytics and AI program framework and policy/standards Work closely with the SOX team and cross-functional stakeholders to translate business objectives into technical specifications for data analytics and automation projects. This includes understanding the SOX business need, identifying technical requirements and bridging the gap between complex data and systems, business needs and internal control requirements. Lead the integration of AI and Automation tools to enhance testing efficiency. Develop and deploy automated continuous control monitoring solutions to provide comprehensive coverage of high-risk areas, shifting from point-in-time assurance to continuous assurance Design and implement automated data pipelines, build SQL queries and data extraction scripts for evidence retrieval and control testing, reducing manual intervention Collaborate with business stakeholders and EPD teams to design and implement integrated solutions that meet business and internal control requirements. Identify opportunities for process improvement through automation within the internal control environment. Partner with other Data Analytics teams across the three lines of defense to drive cross-functional data analytics projects, such as the build out of a shared data warehouse and code library, and harmonize risk and control reporting across. Establish internal policies, procedures and standards for the deployment and use of Automation and AI within the internal control environment. Collaborate with the SOX Sr Director, SOX Sr Program Manager, SOX IT Testing Lead and other SOX Leads to identify reporting needs, develop and implement dashboards, including the monitoring of SOX Program (e.g., Audit Status, Issue Trends, Resourcing, Budgeting) Key management consultant, and internal controls expert in building and maintaining ongoing relationships with the various lines of business included in the company's SOX process. Responsibilities also include the following: 1) adhering to and complying with all applicable, federal and state laws, regulations and guidance 2) adhering to company policies and procedures, 3) completing required training. Support other assignment and ad hoc matters as required What you'll need: Education: Bachelor's Degree. 5-7 or more years of Data Analytics experience, including 2-3 years of data analytics within internal audit control teams Proficiency in SQL, Python and other languages, including writing complex SQL queries to pull data Experience with business intelligence, data warehousing and dashboarding, including Snowflake, Tableau and PowerBI Ability to work independently and lead in ambiguity and in a fast-paced environment Understanding of data lineage and integrity Driven by Excellence - you are driven by our mission and our passion for customer success which means you relentlessly pursue excellence, that you do not tolerate mediocrity and you work intensely to achieve your goals High Integrity - you seek open and honest communication, and you hold yourself to very high moral and ethical standards You reject manipulation, dishonesty and intolerance Critical thinking, analytical and strategic skills Ability to independently navigate within an ambiguous environment Organized, detailed, proactive, self-motivated, collaborative Proven ability to work cross functionally and adapt to change are extremely important Ability to prioritize workloads and ensure deadlines are consistently met High integrity and ability to handle confidential information Ability to define deliverables, build budgets and project plans, align resources and specialists for project teams Strong project management skills and organizing ability with successful experience in concurrently managing multiple projects at varying levels of technical difficulty Strong teamwork and communication skills (both oral and written) Nice to have: Big 4 Accounting Firm experience is strongly preferred. CPA and CIA/CISA or strongly preferred Prefer FinTech, banking and/or financial services experience primarily focused on IT SOX or IT enterprise-wide risk management and ICFR controls consulting. Practical and deep knowledge of IT / BP SOX, ICFR and COSO and baseline understanding of business process controls. Expertise in performing SOX testing, including ITGCs, ITACs, Manual Controls and Key Report Testing (e.g., examining report configurations, scripts) Compensation and Benefits The base pay range for this role is listed below. Final base pay offer will be determined based on individual factors such as the candidate's experience, skills, and location. To view all of our comprehensive and competitive benefits, visit our Benefits at SoFi page! Pay range: $115,200.00 - $216,000.00 Payment frequency: Annual This role is also eligible for a bonus, long term incentives and competitive benefits. More information about our employee benefits can be found in the link above. SoFi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law. The Company hires the best qualified candidate for the job, without regard to protected characteristics. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. New York applicants: Notice of Employee Rights SoFi is committed to an inclusive culture. As part of this commitment, SoFi offers reasonable accommodations to candidates with physical or mental disabilities. If you need accommodations to participate in the job application or interview process, please let your recruiter know or email accommodations@sofi.com. Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time. Internal Employees If you are a current employee, do not apply here - please navigate to our Internal Job Board in Greenhouse to apply to our open roles.
Posted 5 days ago
Master Data Management Analyst - Portfolio Analytics & Reporting
StepStone Group Inc.La Jolla, CA
$72,000 - $76,500 / year
We are global private markets specialists delivering tailored investment solutions, advisory services, and impactful, data driven insights to the world's investors. Leveraging the power of our platform and our peerless intelligence across sectors, strategies, and geographies, we help identify the advantages and the answers our clients need to succeed. Position Overview: The Data Analyst will be a member of the Data Engineering team within StepStone's Portfolio Analytics and Reporting ("SPAR") department. This person will partner with various internal teams and support efforts to define, enforce, and maintain a unified Master Data Management (MDM) process and strategy within a cloud data warehouse environment. This person will implement data quality checks and support creating unified "golden records" from disparate internal and external data sources. The role sits at the intersection of data engineering, data modeling, and private investment domain knowledge, providing exposure to both technical and business processes. Essential Job Functions: Support MDM initiatives in defining, modelling, and maintaining master data entities. Gather, reconcile, clean, standardize, deduplicate, and merge data from internal systems and external databases to create trusted "golden records." Build records matching/merging logic and rules for mastering data (deterministic, fuzzy matching, conflict resolution). Collaborate with stakeholders to understand domain definitions, business rules, data lineage, and exceptions. Implement data quality checks, validations, and anomaly detection to ensure accuracy and consistency of master data. Create and maintain documentation, definitions, governance rules, and metadata for master data assets. Assist in establishing governance, stewardship, and versioning processes. Integrate master data processes with broader extract, load and transform (ELT) workflows and Snowflake data models. Contribute to automation of mastering data processes. Support other data initiatives such as data engineering, data modeling, and ad-hoc analysis. Qualifications: Bachelor's degree in Computer Science, Information Systems, Economics, Finance, or related quantitative or qualitative field. 1-3 years of experience or relevant coursework in data analysis, data engineering, or MDM-related roles. Strong SQL skills for data profiling, transformation, and reconciliation in Snowflake. Understanding of data mastering, data modeling, ETL/ELT processes, and data integration concepts. Interest in private markets or financial data. Analytical mindset with attention to detail and the ability to manage complex, evolving data. Strong communication skills to collaborate with technical teams and business stakeholders. Other Knowledge, Skills and Abilities: Prior experience in MDM, data governance, or data stewardship is a plus. Experience designing matching/merging logic, fuzzy joins, or reconciliation workflows. Knowledge of Snowflake data governance features (Data Quality Monitoring, Data Security, Data Classification). Experience with commercial MDM platforms or governance tools. Familiarity with metadata management, version control, and data catalog tools. Exposure to financial or investment data domains. Familiarity with Python or similar scripting for automation is a plus. Salary Range: $72,000 - $76,500 The salary range is an estimate of pay for this position. Actual pay may vary depending on job-related factors that can include location, education, skill, and experience. The salary range does not include any benefits or other forms of possible compensation that may be available to employees. #LI-Hybrid At StepStone, we believe that our people are our most important asset and crucial to our success. We are an Equal Opportunity Employer that strives to create an environment that empowers our employees and allows them to be heard, regardless of title or tenure. Our organizational community features multiple Employment Resource Groups as well as mentorship programs to enhance the employee experience for all. As an Equal Opportunity Employer, StepStone does not discriminate on the basis of race, creed, color, religion, sex, national origin, citizenship status, age, disability, marital status, sexual orientation, gender identity, gender expression, genetic information or any other characteristic protected by law. Candidates must be at least 18 years old to apply. Developing People at StepStone
Posted 30+ days ago
Research Operations & Strategy Lead, Coding & Cybersecurity Data
AnthropicSan Francisco, CA
$250,000 - $365,000 / year
About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role: As the Research Operations & Strategy Lead for Coding & Cybersecurity Data, you'll build and scale data operations that advance Claude's coding and cybersecurity capabilities. You'll partner with research teams to design and execute data strategies, manage vendor relationships, and own the entire data pipeline from requirements to production. This is a zero-to-one role requiring technical depth to understand what makes high-quality training data, but your focus will be on strategy and execution rather than hands-on engineering. Think technical founder who evolved from writing code to building the business. About the Impact: The data strategies and operations you build will directly determine how well our models can write code, understand software systems, and identify security vulnerabilities. You'll work with world-class researchers on frontier AI capabilities while building the operational infrastructure to scale these efforts. We're looking for someone who gets excited about the challenge of scaling quality - someone who can think strategically about data needs, build the right partnerships, and execute flawlessly. If you thrive at the intersection of technical depth and operational excellence, we'd love to hear from you. Responsibilities: Develop and execute data strategies for coding capabilities, cybersecurity evaluations, and agentic AI research Partner with research leaders to translate technical requirements into operational frameworks Build data collection and evaluation systems through internal tools, vendor partnerships, and new approaches Identify, evaluate, and manage specialized contractors and vendors for technical data collection Implement quality control processes to ensure data meets training requirements Manage multiple complex projects simultaneously, balancing technical needs with delivery timelines Track metrics and communicate progress to stakeholders You may be a good fit if you: Have 3+ years in technical operations, product management, or entrepreneurial experience building from zero to scale Have strong technical foundations - proficiency in Python and understanding of ML workflows and evaluation frameworks Have strong communication skills and can effectively engage with both technical and non-technical stakeholders, both internal and external parties Are familiar with how LLMs work and could describe how models like Claude are trained Are highly organized and can manage multiple parallel workstreams effectively Have a high threshold for navigating ambiguity and can balance setting strategic priorities with rapid, high-quality execution Thrive in fast-paced research environments with shifting priorities and novel technical challenges Are passionate about AI safety and understand the critical importance of high-quality data in building beneficial AI systems Strong candidates may also have: Experience at companies training AI models, agents, or creating AI training data, evaluations, or environments Knowledge of AI safety research methodologies and evaluation frameworks Experience with RLHF or similar human-in-the-loop training methods Domain expertise in software engineering or cybersecurity Track record of building and scaling operations teams The annual compensation range for this role is listed below. For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $250,000-$365,000 USD Logistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links-visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact - advancing our long-term goals of steerable, trustworthy AI - rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process
Posted 30+ days ago
Counsel, Healthcare Transactions & Regulatory Data
Welltower, IncNew York, NY
$175,000 - $225,000 / year
WELLTOWER - REIMAGINE REAL ESTATE WITH US Welltower, now the world's largest real estate company by market capitalization, is continuing to grow at an exciting pace! At Welltower, we're transforming how the world thinks about senior living and wellness-focused real estate. As a global leader in residential wellness and healthcare infrastructure, we create vibrant, purpose-driven communities where housing, healthcare, and hospitality converge. Our culture is fast-paced, collaborative, and endlessly ambitious-guided by our mantra: The only easy day was yesterday. We're looking for bold, independent thinkers who thrive on challenge, embrace complexity, and are driven to deliver long-term value. Every team member is empowered to think like an owner, innovate fearlessly, and lead from where they stand. If you're passionate about outcomes and inspired by the opportunity to shape the future of healthcare infrastructure, we want you on our best-in-class team. SUMMARY The Counsel, Healthcare Transactions & Regulatory Data will be accountable for the healthcare aspects on applicable transactions as well as managing the data and analytics program specific to health care regulatory compliance and performance across our network of properties. This individual will play a critical role in advising on healthcare regulatory matters-including those arising in the context of mergers, acquisitions, dispositions, and operator transitions. The ideal candidate will have a strong healthcare legal background, with demonstrated experience supporting M&A transactions and related licensure and change of ownership (CHOW) activities. KEY RESPONSIBILITIES Advise on legal and regulatory issues arising in connection with corporate transactions, including acquisitions, dispositions, operator transitions and facility closures, with a particular focus on healthcare-specific considerations. Lead or support the preparation and submission of licensure, CHOW, and other required filings with Federal and State agencies related to transactions. Collaborate with deal teams to evaluate and negotiate regulatory terms and conditions of healthcare transactions, ensuring compliance with applicable laws and mitigating legal risk. Create and oversee the process for collecting, organizing, documenting, and storing all health care regulatory compliance data (including, but not limited to complete licensure information), whether Federal or State required, across our business segments, including skilled nursing and seniors housing facilities and partner with Business Insights team on the data collected in their environment. Partner with the Legal and Business Insights teams to ensure careful and accurate tracking of regulatory data and business insights data. Work with our partners, operators and third parties to make sure that data is consistently gathered and in compliance with Federal, State, Local and any other regulatory requirement. Utilize/examine Federal, State and other databases to identify data useful to our business. Work closely with Privacy and Security Officers to coordinate the creation, maintenance and revision, if necessary, to policies and procedures for new and existing compliance programs. Develop and foster effective communication of current trends and regulatory changes among Welltower's stakeholders, including internal team members as well as industry associations and regulators. Perform special projects as assigned. OTHER DUTIES Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of this employee for this job. Duties, responsibilities, and activities may change at any time with or without notice. TRAVEL Some out-of-area and overnight travel may be expected. MINIMUM REQUIREMENTS Law degree (J.D.) is required. CHC (Certified in Healthcare Compliance) certification preferred 4+ years healthcare transaction experience required Transactional experience covering assisted living, memory care, skilled nursing and/or senior congregate care settings is preferred. Strong familiarity with Federal and State health care laws, licensing and other standards, Medicare and Medicaid programs. Advanced Microsoft Excel skills. Ability to identify and extract data from multiple sources, summarize and analyze for trends. Strong understanding of healthcare documentation and electronic software programs. Excellent written, oral, and presentation communication skills. Employment is contingent upon the successful completion of a background check, drug screening, and verification of employment, education, and other credentials relevant to the position. WHAT WE OFFER Competitive Base Salary + Annual Bonus Generous Paid Time Off and Holidays Employee Stock Purchase Program - purchase shares at a 15% discount Employer-matching 401(k) Program + Profit Sharing Program Student Debt Program - we'll contribute up to $10,000 towards your student loans! Tuition Assistance Program Comprehensive and progressive Medical/Dental/Vision options Professional Growth And much more! https://welltower.com/newsroom/careers/ COMPENSATION Salaries may vary by location. The range for this role in New York City is $175,000 - $225,000 plus bonus. Final compensation determinations are made based on a variety of factors, including, but not limited to, the candidate's individual experience, education, and skill level; business strategic priorities; primary office location; scope and anticipated strategic impact of the role. ABOUT WELLTOWER Welltower Inc. (NYSE: WELL) an S&P 500 company, is the world's preeminent residential wellness and healthcare infrastructure company. Our portfolio of 1,500+ Seniors and Wellness Housing communities is positioned at the intersection of housing, healthcare, and hospitality, creating vibrant communities for mature renters and older adults in the United States, United Kingdom, and Canada. We also seek to support physicians in our Outpatient Medical buildings with the critical infrastructure needed to deliver quality care. Our real estate portfolio is unmatched, located in highly attractive micro-markets with stunning built environments. Yet, we are an unusual real estate organization as we view ourselves as a product company in a real estate wrapper driven by relationships and unconventional culture. Through our disciplined approach to capital allocation powered by our data science platform and superior operating results driven by the Welltower Business System, we aspire to deliver long-term compounding of per share growth and returns for our existing investors - our North Star. Welltower is committed to leveraging the talent of a diverse workforce to create great opportunities for our business and our people. EOE/AA. Minority/Female/Sexual Orientation/Gender Identity/Disability/Vet
Posted 30+ days ago
Senior Data Engineer
Tiger AnalyticsMclean, VA
Tiger Analytics is a global leader in AI and advanced analytics consulting, empowering Fortune 1000 companies to solve their toughest business challenges. We are on a mission to push the boundaries of what AI can do, providing data-driven certainty for a better tomorrow. Our diverse team of over 6,000 technologists and consultants operates across five continents, building cutting-edge ML and data solutions at scale. Join us to do great work and shape the future of enterprise AI Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative,inclusive, and iterative delivery environment? At Tiger Analytics, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Data Engineers who are passionate about marrying data with emerging technologies.
Posted 4 days ago
IS Senior Specialist, Data Analytics And AI
Aptar Inc.Boonton, NJ
Position: IS Senior Specialist, Data Analytics and AI Department: Aptar Information Systems Location: Aptar worldwide Travel Expectations: Up to 25% Reports To: Director, IS Data & Analytics Primary Purpose Summary The IS Senior Specialist, Data Analytics and AI is the key contributor to our machine learning initiatives, will manage the full development lifecycle, including data preprocessing, feature engineering, model training, deployment, and monitoring. She/he is a Subject Matter Expert in ML and AI, obtained through advanced technical education & work experience, interprets internal or external issues, and recommends solutions and best practices. She/he will work with cross-functional teams to analyze large datasets, build predictive models, and optimize algorithm performance. This role offers the chance to work with advanced technologies and collaborate with talented professionals' team that value collaboration, continuous learning in a dynamic, innovative environment. This role requires expertise in ML and AI algorithms, programming, and data analysis, along with strong problem-solving and communication skills. In this position he/she will be directly reporting to the Director, IS Business Analytics. Job Responsibilities: The IS Senior Specialist, Data Analytics and AI plays a key role in the end-to-end design and implementation of Aptar Machine Learning and AI use cases, works closely with both Data & Analytics team and business to identify key areas of development for Machine Learning and generative AI solutions, and has strong end-to-end solution ownership, translating product requirements into user interfaces and backend distributed system design as well as own the implementation of these designs. She/he is a senior team member of the projects and the programs in the area of Artificial Intelligence and engages stakeholders based upon the needs of his domain Collaboration & Stakeholder Engagement She/he is independent & effective She/he solve problems with Data, ML and AI, and recommends solutions to complex problems guided by business objectives She/he influences Aptar expert stakeholders Work with data scientists, software engineers, and business stakeholders to define problems, requirements, and objectives. Collaborate with domain experts to gather insights for enhancing model relevance and performance. Communicate findings, results, and recommendations effectively to both technical and non-technical stakeholders. Participate in cross-functional discussions to identify business problems and opportunities for machine learning solutions. Data Preparation & Engineering Preprocess, clean, and normalize large datasets to ensure data quality. Conduct exploratory data analysis to understand patterns and distributions. Engineer and select relevant features to optimize model performance. Develop and maintain scalable data pipelines for ingestion, transformation, and feature engineering. Model Development & Optimization Select, implement, and fine-tune appropriate machine learning algorithms or Gen AI models. Train models, adjust hyperparameters, and optimize algorithms for performance. •Apply advanced techniques such as transfer learning, ensemble learning, and data augmentation. Optimize models for resource-constrained environments (e.g., edge or IoT devices). Model Evaluation & Validation Evaluate models using appropriate metrics and validate against test datasets. Conduct experiments (e.g., A/B testing) to assess model impact on business metrics. Benchmark different algorithms to select the most suitable approach. Deployment & Monitoring Collaborate with software engineers and DevOps teams to deploy machine learning models. Develop monitoring systems to track performance, detect anomalies, and implement updates. Ensure scalability, reliability, and performance in production environments. Research & Continuous Learning Stay updated with advancements in machine learning, AI frameworks, and tools. Explore new methodologies, algorithms, and frameworks to improve workflows. Participate in professional development activities, such as conferences and workshops. Compliance & Ethics Ensure compliance with data privacy and security regulations when handling sensitive data. Implement techniques for model fairness, explainability, and interpretability. •Collaborate with data governance teams to adhere to ethical guidelines and regulatory requirements. Documentation & Best Practices Document machine learning models, processes, and workflows to ensure reproducibility. Maintain version control for tracking changes in code and experiments. Contribute to developing and maintaining reusable components and frameworks. Mentorship & Knowledge Sharing Mentor junior team members and provide technical guidance. Share knowledge through blog posts, open-source projects, and community contributions. Participate in knowledge-sharing sessions within the organization. Cross-functional Collaboration & Integration Work with data engineers to optimize data infrastructure and pipelines. Collaborate with business stakeholders to integrate machine learning into existing systems. Contribute to building company-wide machine learning infrastructure. Required Skills and Qualifications Programming Skills Proficiency in programming languages: Python, Spark, R, Java, SQL. Experience with implementing machine learning algorithms and models. Familiarity with version control systems (e.g., Azure DevOps). Machine Learning Algorithms and Frameworks Supervised, unsupervised, and reinforcement learning. Machine learning libraries: TensorFlow, PyTorch, scikit-learn, Keras. Neural networks, CNNs, RNNs, GANs. AutoML tools. Reinforcement learning frameworks like OpenAI Gym. Mathematical and Statistical Expertise Strong foundation in linear algebra, calculus, probability, and statistics. Familiarity with Bayesian statistics and probabilistic graphical models. Data Handling and Analysis Data manipulation libraries: pandas, NumPy, SQL. Data preprocessing, feature engineering, and exploratory data analysis. Knowledge of handling structured and unstructured data (e.g., text, images, audio, video). Big Data and Distributed Systems Experience with big data technologies: Apache Spark, distributed computing frameworks (like Databricks, Dataiku….) Understanding cloud-based services for data storage (e.g., Azure ADLS, Amazon S3, Google Cloud Storage). Natural Language Processing (NLP) Sentiment analysis, named entity recognition, text summarization. Knowledge of frameworks for NLP and text analysis. Optimization and Model Performance Hyperparameter tuning techniques (e.g., Bayesian optimization). Feature selection and dimensionality reduction. Knowledge of anomaly detection algorithms. Model Deployment and Monitoring Expertise in deploying models using: RESTful APIs, microservices architecture. Containerization tools (e.g., Docker, Kubernetes). Skills in model monitoring and drift detection. Understanding of model interpretability techniques (e.g., SHAP, feature importance). Software Engineering Best Practices Software testing methodologies. Agile and Scrum project management methodologies. Visualization and Communication Matplotlib, Plotly, Power BI. Effective communication skills for both technical and non-technical audiences. Specialized Techniques Graph analytics and neural networks. Time series analysis and forecasting (e.g., ARIMA, LSTM, Prophet). Knowledge of federated learning and differential privacy. Additional Skills Passion for continuous learning and staying updated with advancements. Awareness of ethical considerations and data privacy in machine learning. Ability to work collaboratively in cross-functional teams. Education Bachelor's Degree (Fundamentals) Core areas: Programming, algorithms, data structures, and computer systems. Mathematics: Linear algebra, calculus, probability, and statistics. Experience 5+ years of experience with Proven experience of leading AI/ML initiatives and driving Innovations.
Posted 3 weeks ago
AI & Genai Data Scientist - Senior Manager
PwCFlorham Park, NJ
$124,000 - $280,000 / year
Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager Job Description & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Growing as a strategic advisor, you leverage your influence, expertise, and network to deliver quality results. You motivate and coach others, coming together to solve complex problems. As you increase in autonomy, you apply sound judgment, recognising when to take action and when to escalate. You are expected to solve through complexity, ask thoughtful questions, and clearly communicate how things fit together. Your ability to develop and sustain high performing, diverse, and inclusive teams, and your commitment to excellence, contributes to the success of our Firm. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Craft and convey clear, impactful and engaging messages that tell a holistic story. Apply systems thinking to identify underlying problems and/or opportunities. Validate outcomes with clients, share alternative perspectives, and act on client feedback. Direct the team through complexity, demonstrating composure through ambiguous, challenging and uncertain situations. Deepen and evolve your expertise with a focus on staying relevant. Initiate open and honest coaching conversations at all levels. Make difficult decisions and take action to resolve issues hindering team effectiveness. Model and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. Minimum Degree Required Bachelor's Degree Minimum Year(s) of Experience 9 year(s) Preferred Knowledge/Skills Demonstrates intimate-level abilities with, and/or a proven record of success directing efforts in the majority of the following areas: Managing development teams in building of GenAI solutions, including but not limited to prompt engineering, general all-purpose programming (e.g., Python), testing, communication of results, front end and back end integration, and iterative development with clients; Leading a team to document and analyze business processes for Generative AI opportunities, including gathering of requirements, creation of initial GenAI hypotheses, and development of GenAI solution approach; Collaborating with client team to understand their business problem and select the appropriate models and approachesÊfor GenAI use cases; Managing teams to process unstructured and structured data to be consumed as context for LLMs, including but not limited to embedding of large text corpus, generative development of SQL queries, building connectors to structured databases; Directing architects to design and solution GenAI architectures for clients, specifically for plugin based solutions (i.e., ChatClient application with plugins) and custom GenAI application builds; Directing data engineers and other data scientists to deliver efficient solutions to meet client requirements; Managing daily operations of a global data and analytics team on client engagements, review developed models, provide feedback and assist in analysis; Facilitating and conducting executive level presentations to showcase GenAI solutions, development progress, and next steps; Managing associates and senior associates through coaching, providing feedback, and guiding work performance; Leading business development activities for clients, including but not limited to facilitating the sales cycle of GenAI proposals; and, Leading internal asset development to build foundational GenAI practice. Demonstrates intimate level abilities and/or a proven record of success learning and performing in functional and technical capacities, including the following areas: Managing GenAI application development teams including back-end and front-end integrations; Using Python (e.g., Pandas, NLTK, etc.), common LLM development frameworks (e.g., Langchain, Semantic Kernel), Relational storage (SQL), Non-relational storage (NoSQL); Vectorization and embedding, prompt engineering, RAG (retrieval, augmented, generation) workflow dev; Possessing hands on experience with Azure, AWS, and / or Google Cloud platforms; Demonstrating experience with Git Version Control, Unit/Integration/End-to-End Testing, CI/CD, release management, etc.; and, Delivering successful technology creation, functional code, AI solutions and Data Platforms. Travel Requirements Up to 80% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $124,000 - $280,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance
Posted 1 week ago
Lead Data Scientist
VizientCentennial, CO
$117,600 - $206,000 / year
When you're the best, we're the best. We instill an environment where employees feel engaged, satisfied and able to contribute their unique skills and talents while living and working as their authentic selves. We provide extensive opportunities for personal and professional development, building both employee competence and organizational capability to fuel exceptional performance through an inclusive environment both now and in the future. Summary: In this role, you will develop automated analytics products and conduct sophisticated data analysis to address critical business and client questions. You will design, implement, and deploy advanced data science solutions across multiple domains, translating complex findings into actionable insights that improve clinical, operational, and economic outcomes. You will guide data scientists, lead the design of predictive, machine learning, and generative AI approaches, and ensure high-quality, scalable analytic solutions that support organizational objectives. Responsibilities: Lead the design and implementation of advanced machine learning, generative AI, statistical modeling, and unsupervised learning approaches across structured and unstructured data. Build and deploy scalable, automated data science products and reusable analytic assets across multiple projects and domains. Analyze large-scale, high-dimensional datasets using Python, R, SQL, and distributed computing platforms to identify trends and actionable insights. Apply deep expertise across end-to-end data science workflows, including data discovery, feature engineering, validation, and insight publishing. Translate complex analytical outputs into clear dashboards, reports, and presentations for technical and non-technical audiences. Make key analytic and architectural design decisions, define project goals based on strategic business needs, and own final solution outcomes. Apply expert-level proficiency in programming languages and advanced analytics platforms, including cloud-based and distributed frameworks. Lead code development and reviews, establish best practices, and mentor data scientists in advanced modeling and responsible AI usage. Evaluate and adopt emerging tools, advanced frameworks, and generative AI technologies to continuously enhance analytical capabilities and workflows. Partner with engineering and platform teams to support production deployment, monitoring, and lifecycle management of machine learning and generative AI models. Implement responsible AI and model governance practices, including documentation, explainability, bias assessment, and validation standards. Collaborate with cross-functional teams to integrate advanced analytics and AI solutions into products, workflows, and business processes. Apply a solutions-oriented mindset to complex, multi-project initiatives and make autonomous decisions on data science deliverables aligned with enterprise objectives. Qualifications: Relevant degree preferred. Advanced degree in applied mathematics, statistics, computer science, econometrics, or a related field is a plus. 7 or more years of relevant experience required. Proven ability to apply advanced modeling, forecasting, anomaly detection, and natural language processing required. Demonstrated advanced knowledge of data science methodologies, statistical modeling, machine learning, and generative AI techniques required. Strong understanding of Natural Language Processing (NLP) techniques, including text classification, sentiment analysis, information extraction, and Large Language Model (LLM)-based approaches required. Expertise in programming languages such as Python, R, SAS, SQL, or similar tools required. Knowledge of responsible AI principles, including model explainability, bias detection, fairness assessment, and ethical use of data. Experience deploying, monitoring, and maintaining machine learning and generative AI models in production environments. Experience implementing model governance practices such as documentation standards, version control, validation protocols, and audit readiness. Experience working with cloud-based and distributed data platforms and modern analytics frameworks such as Databricks. Strong analytical, problem-solving, communication, and presentation skills with the ability to convey complex concepts to non-technical audiences. Experience guiding or mentoring data scientists. Estimated Hiring Range: At Vizient, we consider skills, experience, and organizational needs in our compensation approach. Geographic factors may adjust the range estimate and hires typically fall below the top range. Compensation decisions are tailored to individual circumstances. The current salary range for this role is $117,600.00 to $206,000.00. This position is also incentive eligible. Vizient has a comprehensive benefits plan! Please view our benefits here: http://www.vizientinc.com/about-us/careers Equal Opportunity Employer: Females/Minorities/Veterans/Individuals with Disabilities The Company is committed to equal employment opportunity to all employees and applicants without regard to race, religion, color, gender identity, ethnicity, age, national origin, sexual orientation, disability status, veteran status or any other category protected by applicable law.
Posted 2 weeks ago
Sr. Product Manager, Data Engineering
DatabricksSan Francisco, CA
P-8 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems - from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Data Engineering is foundational and among the largest scale workloads on the Databrick Data Intelligence Platform. We are reinventing Data Engineering with Lakeflow - a unified product and experience for simple data ingestion, declarative data transformation, and real-time streaming. In this role, you will lead product management for a core Lakeflow product area. You will own and drive all aspects of product management including vision, strategy, roadmap, execution, and go-to-marketing. In addition, you will partner closely with various Databricks product teams to enable Data Engineering for the overall Databrick product portfolio including data science, data warehousing, business intelligence, and machine learning products. The impact you will have Lead product management for one of the fastest growing products and businesses at Databricks Make company wide impact by driving Data Engineering across the Databricks product portfolio Develop and deepen understanding of and expertise in Data Engineering, a foundational domain in the data and AI industry Define, shape, and drive the future of data processing, data applications, and data pipelines Own the full life cycle of product development from ideation to requirements, development, pricing, launch, and go-to-market. What We Look For 5+ years of product management and related experience with enterprise or SaaS products. Educational or professional background in computer science or related engineering fields. Ability to partner with senior technical leaders from Engineering, while going deep on technical concepts. Track record of delivering products with cross-functional teams common to enterprise software industry (field engineering, sales, marketing, partnerships, etc.) Analytical skills to make data-driven decisions (e.g. analyze product usage) Excellent communication skills to clearly and concisely communicate complex topics to diverse stakeholders (engineers, customers, etc.) in written and verbal form A background in Data Engineering is a plus but not required.
Posted 30+ days ago
AI & Genai Data Scientist-Senior Associate
PwCFort Worth, TX
$77,000 - $202,000 / year
Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn't clear, you ask questions, and you use these moments as opportunities to grow. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Respond effectively to the diverse perspectives, needs, and feelings of others. Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems. Use critical thinking to break down complex concepts. Understand the broader objectives of your project or role and how your work fits into the overall strategy. Develop a deeper understanding of the business context and how it is changing. Use reflection to develop self awareness, enhance strengths and address development areas. Interpret data to inform insights and recommendations. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. Minimum Degree Required Bachelor's Degree Minimum Year(s) of Experience 4 year(s) Demonstrates thorough-level abilities and/or a proven record of success managing the identification and addressing of client needs: Building of GenAI and AI solutions, including but not limited to analytical model development and implementation, prompt engineering, general all-purpose programming (e.g., Python), testing, communication of results, front end and back-end integration, and iterative development with clients Documenting and analyzing business processes for AI and Generative AI opportunities, including gathering of requirements, creation of initial hypotheses, and development of GenAI and AI solution approach Collaborating with client team to understand their business problem and select the appropriate analytical models and approaches for AI and GenAI use cases Designing and solutioning AI/GenAI architectures for clients, specifically for plugin-based solutions (i.e., ChatClient application with plugins) and custom AI/GenAI application builds Processing unstructured and structured data to be consumed as context for LLMs, including but not limited to embedding of large text corpus, generative development of SQL queries, building connectors to structured databases Support management of daily operations of a global data and analytics team on client engagements, review developed models, provide feedback and assist in analysis; Directing data engineers and other data scientists to deliver efficient solutions to meet client requirements; Leading and contributing to development of proof of concepts, pilots, and production use cases for clients while working in cross-functional teams; Structuring, write, communicate and facilitate client presentations; and, Directing associates through coaching, providing feedback, and guiding work performance. Demonstrates thorough abilities and/or a proven record of success learning and performing in functional and technical capacities, including the following areas: Managing AI/GenAI application development teams including back-end and front-end integrations Using Python (e.g., Pandas, NLTK, Scikit-learn, Keras etc.), common LLM development frameworks (e.g., Langchain, Semantic Kernel), Relational storage (SQL), Non-relational storage (NoSQL); Experience in analytical techniques such as Machine Learning, Deep Learning and Optimization Vectorization and embedding, prompt engineering, RAG (retrieval, augmented, generation) workflow dev Understanding or hands on experience with Azure, AWS, and / or Google Cloud platforms Experience with Git Version Control, Unit/Integration/End-to-End Testing, CI/CD, release management, etc. Travel Requirements Up to 80% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $77,000 - $202,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance
Posted 3 weeks ago
Cloud Data & Analytics Strategy Senior Associate (Insurance)
PwCKansas City, MO
$77,000 - $202,000 / year
Industry/Sector Insurance Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. You'll focus on aligning client data strategies to their business strategy. You will assist clients in choosing a platform, defining their data needs and migrating them to a modern cloud data environment using cloud providers such as Azure, Google Cloud Platform, Amazon Web Services, Snowflake, Databricks or Teradata. To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future. As a Senior Associate, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to: Use feedback and reflection to develop self awareness, personal strengths and address development areas. Delegate to others to provide stretch opportunities, coaching them to deliver results. Demonstrate critical thinking and the ability to bring order to unstructured problems. Use a broad range of tools and techniques to extract insights from current industry or sector trends. Review your work and that of others for quality, accuracy and relevance. Know how and when to use tools available for a given situation and can explain the reasons for this choice. Seek and embrace opportunities which give exposure to different situations, environments and perspectives. Use straightforward communication, in a structured way, when influencing and connecting with others. Able to read situations and modify behavior to build quality relationships. Uphold the firm's code of ethics and business conduct. Job Requirements and Preferences: Basic Qualifications: Minimum Degree Required: Bachelor Degree Minimum Years of Experience: 4 year(s) Preferred Qualifications: Certification(s) Preferred: Certification in one of the following cloud platforms- AWS/Azure/GCP Preferred Knowledge/Skills: Demonstrates thorough abilities and/or success in one or many of the following areas: Demonstrating an expertise in developing and implementing data or analytics-driven strategies to drive business growth and optimize decision-making; Defining data management and data/analytics governance strategy and align data initiatives with organizational goals; Conducting data/analytics strategy refresh on a regular basis and managing overall data strategy program success; Delivering strategy and transformation projects; Understanding and experience with modern cloud data architectures and engineering for one or more of the following cloud providers- AWS, Azure, GCP; Implementing cloud data architecture and data integration patterns for one or more of the cloud providers (AWS Glue, Azure Data Factory, Event Hub, Databricks, etc.), storage and processing (Redshift, Azure Synapse, BigQuery, Snowflake); Infrastructure as code (CloudFormation, Terraform); Understanding and thorough knowledge of Data Warehousing concepts (normalization, OLAP, OLTP, Vault data model, graphs, star & snowflake schemas); Applying knowledge and work experience in Big data engineering (Hadoop, Spark, Scala, Kafka) and ETL/ELT pipeline development (tools: IICS/AWS Glue/SAP BODS/Matillion/DBT/Abinitio/SSIS/SnapLogic); preferable in P&C/L&A Insurance data warehouse; Developing file and object-based storage solutions using Azure ADLS 2.0 or AWS S3; Applying knowledge in SQL, report generation using visualization tools such as Tableau/Power BI/Cognos, programming using Python/Spark; Designing and developing advanced analytics solutions, AI/ML models, and operationalizing based on ML Ops process; Understanding of enterprise data concepts such as Master Data Management Data Governance and Enterprise Data Warehouse; Applying leading practices in supporting high availability, scalable, process and storage intensive solutions architectures to data integration/migration, analytics and insights, AI and ML requirements; Understanding and familiarity of one or more is a big plus- CI/CD, cloud devops, containers (Kubernetes/Docker, etc.); Understanding of insurance data, underlying KPIs and how they are used; and, Demonstrating prior P&C/L&A Insurance industry experience. Demonstrates thorough abilities with, and/or a proven record of success directing efforts in the following areas: Demonstrating prior Big 4 or proven consulting experience in strategy through execution projects; Working closely with business stakeholders to capture and document business objectives/requirements, ability to translate business and technology objectives to next generation cloud, digital and technology solution architectures; Understanding how the application of analytical techniques correlated to business value and being able to select the appropriate analytical techniques for the problem at hand; Willing to learn and apply modern, cloud-based technology skills, ability to research emerging trends, analyst publications, and adoption of modern technologies in solution architectures; Understanding personal and team roles, contributing to a positive working environment by building proven relationships with team members, proactively seeking guidance, clarification and feedback; Prioritizing and handling multiple tasks, researching and analyzing pertinent client, industry and technical matters, utilizing problem-solving skills, and communicating cogently in written and verbal formats to various audiences (including various levels of management and external clients) in a professional business environment; and, Demonstrating leadership experience, including providing coaching, feedback and guidance on work performance. Travel Requirements Up to 80% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $77,000 - $202,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance
Posted 30+ days ago
Senior Data Specialist
CONTACT GOVERNMENT SERVICESRockville, MD
$80,000 - $100,000 / year
Senior Data Specialist Employment Type: Full-Time, Experienced Department: eDiscovery CGS is seeking an experienced Senior Data Specialist with extensive knowledge of litigation discovery processes to provide assistance in the EDRM workflow for a large Federal agency initiative. CGS brings motivated, highly skilled, and creative people together to solve the government's most dynamic problems with cutting-edge technology. To carry out our mission, we are seeking candidates who are excited to contribute to government innovation, appreciate collaboration, and can anticipate the needs of others. Here at CGS, we offer an environment in which our employees feel supported, and we encourage professional growth through various learning opportunities. Skills and attributes for success: Performs file manipulation, loading, conversion services, database indexing, and quality checks of loads. Develops, evaluates and modifies methodologies and procedures for manipulating files for use with COTS products and litigation support applications. Responsible for ensuring that incoming productions are made pursuant to the applicable ESI specifications. Performs advanced tasks related to exporting data from contractor and client databases, including: identifying data for export, confirming redactions and other markups, ensuring that exports comply with applicable ESI specifications, and quality check of exported data. Support client attorneys, investigators, and paralegals by tracking and processing incoming documents, subpoena returns, and data; creating, loading, and managing document review databases; producing documents to opposing parties in litigation; and tracking produced documents. Applications used include Everlaw, Relativity, Eclipse, Trial Director, NUIX, LAW, EZManage, CaseView, Metadata Assistant, Beyond Compare, eScan-IT, CaseMap, TextMap, TimeMap, Camtasia, and other applications as directed, or as required to complete processing. Under guidance from the client attorneys, manages documents and data, including the use of document review tools. Documents and data include physical documents, a wide range of Electronically Stored Information (ESI), discovery, forensic images, subpoena returns, PDF's, audio/video files, pictures, forms, email, and others as required to support the client attorneys. Document review tools include those listed in item Contractor will work with the Litigation Support Manager to ensure that incoming productions are made pursuant to the applicable ESI specifications and when deficiencies are found, provides Litigation Support Manager with detailed notice of deficiencies. Coordinate with the client's Technology Service Center regarding litigation support projects that are outsourced to the client. Contractor will ensure that all exports for productions are made pursuant to applicable ESI specifications and/or the requirement of the requesting party or client personnel using the guidelines utilized by the Litigation Support Unit. Work with Litigation Support Manager and client attorneys when issues may arise in discovery negotiations with defense counsel. Contractor will work with the Litigation Support Specialist in modifying and manipulating files for use with COTS products and litigation support applications. Qualifications: Undergraduate degree preferred-preferably in computer science or related field Requires knowledge of litigation discovery process, and the Electronic Discovery Reference Model (EDRM) workflow. Knowledge of Government's IT environment, including office automation networks, PC and server based applications preferred. Working knowledge of personal computers, including Windows, document review software, and encryption methods. Experience with LAW, IPRO, Relativity or other document processing platform. Familiarity with ICONECT, Relativity, MS Office Suite, and West LiveNote valued. At least two years' experience performing eDiscovery roles including but not limited to electronic files processing (EFP), image and data file conversion, data culling using review tools, quality assurance, database loads and retrieval, and data analysis. Our Commitment: Contact Government Services (CGS) strives to simplify and enhance government bureaucracy through the optimization of human, technical, and financial resources. We combine cutting-edge technology with world-class personnel to deliver customized solutions that fit our client's specific needs. We are committed to solving the most challenging and dynamic problems. For the past seven years, we've been growing our government-contracting portfolio, and along the way, we've created valuable partnerships by demonstrating a commitment to honesty, professionalism, and quality work. Here at CGS we value honesty through hard work and self-awareness, professionalism in all we do, and to deliver the best quality to our consumers mending those relations for years to come. We care about our employees. Therefore, we offer a comprehensive benefits package. Health, Dental, and Vision Life Insurance 401k Flexible Spending Account (Health, Dependent Care, and Commuter) Paid Time Off and Observance of State/Federal Holidays Contact Government Services, LLC is an Equal Opportunity Employer. Applicants will be considered without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Join our team and become part of government innovation! Explore additional job opportunities with CGS on our Job Board: https://cgsfederal.com/join-our-team/ For more information about CGS please visit: https://www.cgsfederal.com or contact: Email: [email protected] #CJ $80,000 - $100,000 a year We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Posted 30+ days ago
Senior Architect, Data Engineering
West Monroe Partners, LLCChicago, IL
West Monroe is seeking a Senior Architect to join our growing Technology & Experience. This leader will structure, lead, support, drive, and grow West Monroe's Data Engineering and Analytics discipline and associated offerings in collaboration with other leaders across the practice and firm. This role will focus on delivering transformational modern data platforms, data strategy, and cloud solutions as well as providing clients with thought-leadership on applying new technologies to innovate their business. What you'll do: Serve as a delivery leader on engagements of moderate-to-high complexity and scale, communicating with client sponsors directly without oversight, and exemplifying engagement management, client relationship, client satisfaction, risk management, and delivery team management skills. Oversee engagement scope, budget, deliverables, profitability, work management and reporting, change management, vendor management, and team development. Provide guidance and platform selection advice for Databricks and/or Snowflake. Design data flow and processing pipelines for analysis using modern toolsets such as Spark on Scala, Storm, Flume, Sqoop. Design data structures for ingestion and reporting, specific to use case and technology. Provide data management expertise to our clients in evaluating requirements and developing data architecture and performing platform selection and design. Data management includes appropriate structuring, stewardship of data, semantics/syntax of data attributes, coding structures, and mapping schemes. Partner with business development teams to identify client needs, propose tailored solutions, and build long-term relationships with key stakeholders to drive revenue growth opportunities. Collaborate on crafting compelling proposals, presentations, and technical demonstrations that showcase innovative architecture solutions and align with client objectives to win new business. Manage and mentor a team of consultants, fostering their professional growth and development. Provide quality assurance review on junior team members' approaches and deliverables. Promote a collaborative and inclusive team environment that prioritizes client success. Represent West Monroe at industry events, conferences, and networking opportunities. Actively engage in recruiting, interviewing, and selecting campus and experienced new hire consultants. What you'll bring: 8+ years of data engineering and analytics experience. 3+ years of experience working in a consulting environment. Deep technical knowledge of Databricks and/or Snowflake. Experience with LLM - Large Language Model. Knowledge of standard methodologies, concepts, best practices, and procedures within a Big Data environment. Development or architecture of modern distributed architectures using modern messaging patterns and tools. Strong data engineering experience with the following core competencies: Experience with Databricks, Snowflake, and/or Fabric. Experience working with relational databases (Microsoft SQL Server) and working with large unstructured data sets. Strong experience with ETL procedures and ideation from scratch. Experience using cloud platforms such as AWS, Azure, GCP etc. Experience with reporting tools such as PowerBI and Tableau. Working knowledge or experience working with Azure SQL, Azure Data Lake or Azure Data Factory. Proven success achieving in-year revenue expectations, including identifying client needs, crafting technical solutions, contributing to proposals, and participating in pre-sales activities to drive revenue growth. Exceptional written and verbal communication skills including the ability to create impactful and concise executive stakeholder-ready deliverables, and polished client-facing oral communication skills. Demonstrated success within one or more of West Monroe's core industries including Consumer & Industrial Products, Healthcare (payer/provider), Life Sciences, High Tech & Software, Utilities, Insurance, Banking, and/or Private Equity. A commitment to inclusion and diversity, and openness to new ideas and perspectives. Ability to travel to client sites as needed (30% to 50%).
Posted 30+ days ago
Analyst, SAP Master Data
AES CorporationIndianapolis, IN
$71,000 - $85,850 / year
Are you ready to be part of a company that's not just talking about the future, but actively shaping it? Join The AES Corporation (NYSE: AES), a Fortune 500 company that's leading the charge in the global energy revolution. With operations spanning 14 countries, AES is committed to shaping a future through innovation and collaboration. Our dedication to innovation has earned us recognition as one of the Top Ten Best Workplaces for Innovators by Fast Company in 2022. And with our certification as a Great Place to Work, you can be confident that you're joining a company that values its people just as much as its groundbreaking ideas. AES is proudly ranked #1 globally in renewable energy sales to corporations, and with $12.7B in revenues in 2023, we have the resources and expertise to make a significant impact as we provide electricity to 25 million customers worldwide. As the world moves towards a net-zero future, AES is committed to meeting the Paris Agreement's goals by 2050. Our innovative solutions, such as 24/7 carbon-free energy for data centers, are setting the pace for rapid, global decarbonization. If you're ready to be part of a company that's not just adapting to change, but driving it, AES is the place for you. We're not just building a cleaner, more sustainable future - we're powering it. Apply now and energize your career with a true leader in the global energy transformation. We are looking for a SAP Master Data Analyst to join our AES Clean Energy team: AES's mission is to improve lives by accelerating a safer and greener energy future. We are a global, agile, cohesive organization with an employee engagement level akin to a startup company. AES businesses throughout the world are often recognized as great places to work. Our people share a passion to help meet the world's current and increasing energy needs, while providing communities and countries the opportunity for economic growth due to the availability of reliable, affordable electric power. A day in the life of an AES Clean Energy, SAP Master Data Analyst will include, but is not limited to: Creating Functional Location Hierarchies from equipment lists and as-builts drawings for PV Solar and Battery Storage assets, leveraging reliability engineering resources. Managing and modifying master data for existing functional locations. Mastering and owning the process for data migration into and from SAP. Implementing new practices to improve uptime and efficiency. The SAP Master Data Analyst supports a larger operations team and serves as the domain expert for SAP Fiori and Prometheus master data as it relates to the operation of photovoltaic plants, grid-scale battery storage systems and wind turbines. Excellent communication, task management and planning skills needed, in addition to technical breadth. Attention to detail and process adherence are mandatory. The successful applicant, while not an expert, will be or become comfortable with high-level review of practical renewable power generation system design and the associated equipment. The position can be located in Louisville, CO / Salt Lake City, UT / Indianapolis, IN / Arlington, VA / Houston TX (Other US AES office locations available) and may include up to 5% travel to project locations and partner offices. The candidate must be located within the US territory. Key Responsibilities Master Data Management Maintain and control master data within SAP Plant Maintenance systems, including Fiori Ensure accuracy, completeness, and consistency of master data records by performing regular audits and data validation checks. Implement data governance policies and procedures to uphold data quality standards and compliance requirements. Collaborate with cross-functional teams to gather data requirements and define data standards for SAP master data. Process MD notification requests. Create FLOC and Equipment records for Solar/BESS and Wind Assets. Create and Maintain BOMs for clean energy assets. Data Integrity and Accuracy: Investigate and cleanse master data to eliminate duplicates, errors, and inconsistencies. Monitor data entry processes and enforce data integrity rules to prevent data quality issues. Process Improvement: Identify opportunities to streamline master data management processes and enhance system functionalities. Propose system enhancements or automation solutions to optimize data management efficiency. User Support and Training: Provide guidance and support to end-users on master data-related inquiries, issues, and procedures. Conduct training sessions to educate users on SAP master data processes, data entry standards, and data governance policies. Act as a subject matter expert on SAP master data management, offering expertise and assistance to stakeholders as needed. Documentation and Reporting: Maintain documentation of master data processes, procedures, and system configurations. Generate reports and metrics related to master data quality, integrity, and compliance. Analyze data trends and identify areas for improvement based on report findings. Qualifications and Skills: Bachelor's degree in Engineering, Data Science, Business Administration, Information Systems, or related field. Proven experience (2 years+) working with SAP ERP systems, with a focus on master data management. Experience in Fiori is recommended, and SAP PM (plant maintenance) module experience is highly recommended. In-depth knowledge of SAP master data structures, data objects, and configuration settings. Strong analytical skills with the ability to analyze complex data sets and identify data discrepancies. (Beyond excel skills) Excellent attention to detail and accuracy in data management and validation. Proficiency in data cleansing and manipulation techniques. Effective communication and interpersonal skills for collaborating with cross-functional teams and providing user support. Ability to work independently and prioritize tasks in a fast-paced environment. Knowledge of data governance principles, best practices, and regulatory requirements. Proficiency with reading and understanding equipment/facility schematics Well versed in the use of the Microsoft Office software suite Experience in using results of data analytics and database tools (GCP, Git, etc.) High degree of commitment to a quality safety culture and an incident-free work environment Personal values consistent with those of the AES Corporation; Safety, Integrity, Excellence, Agility and Fun "Plus" Qualifications Certification in SAP Master Data Governance (MDG) is a plus. Familiarity with renewable energy generation equipment and one-line electrical diagrams Spanish language skills AES is an Equal Opportunity Employer who is committed to building strength and delivering long-term sustainability through diversity and inclusion. Respecting all backgrounds, differences and perspectives enables us to improve the lives of our people, customers, suppliers, contractors, and the communities in which we live and work. All qualified applicants will receive consideration for employment without regard to sex, sexual orientation, gender, gender identity and/or expression, race, national origin, ethnicity, age, religion, marital status, physical or mental disability, pregnancy, childbirth, or related medical condition, military or veteran status, or any other characteristic protected under applicable law. E-Verify Notice: AES will provide the Social Security Administration (SSA) and if necessary, the Department of Homeland Security (DHS) with information from each new employee's I-9 to confirm work authorization. The expected salary for this position, at commencement of employment, is between $71,000 and $85,850/Annual; however, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements such as annual bonus, in addition to a full range of medical, dental, vision, life, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as vacation, sick time, and parental leave), dependent on the position offered. Details of participation in these benefit plans will be provided if a candidate receives an offer of employment. If hired, employee will be in an "at-will position" and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.
Posted 30+ days ago
Account Director, Market Data
PaveSan Francisco, CA
The Market Data Strategy and Ops Team @ Pave Pave is building the largest real-time compensation market dataset, and our strategy and operations team drives this goal forward. We partner with customers, R&D, and Pave's leadership to determine the why, when, and how for our biggest data challenges while leading the execution of solutions. This role will primarily focus on accelerating customer data acquisition, while also supporting data throughput, product strategy, and other key initiatives. What You'll Do Acquire and onboard MM+ tech companies as data partners through targeted outreach campaigns, converting prospects into actively engaged platform users Shepherd customers through technical integration from initial setup to full deployment, maintaining ownership of the entire journey and driving high completion rates Lead enablement initiatives and strategic reviews with enterprise clients to maximize platform utilization, strengthen relationships, and secure long-term retention Uncover cross-sell opportunities by identifying adjacent product needs during data engagements, then qualifying and referring prospects to Account Executive teams Develop scalable frameworks and protocols working alongside Data and RevOps to streamline integration workflows, flag at-risk accounts early, and create repeatable handoff processes Champion Pave's data value proposition by crafting compelling narratives that resonate with compensation leaders and position the platform as mission-critical infrastructure Build and optimize conversion funnels through disciplined prospecting, systematic qualification, and metrics-driven pipeline management across all customer touchpoints What You'll Bring Customer Success and Enablement: Deep expertise in driving product adoption and usage through systematic enablement programs, with experience managing customer lifecycle from onboarding through expansion Technical Integration Partnership: Strong ability to collaborate with customer technical teams and internal product/engineering to ensure seamless data integrations and ongoing platform optimization Pipeline Development and Qualification: Demonstrated skills in prospecting, lead qualification, and systematic pipeline management with measurable conversion metrics Cross-Functional Revenue Generation: Track record of identifying and developing opportunities across multiple product lines, with ability to effectively hand off qualified leads while maintaining relationship ownership Data Storytelling and Evangelism: Expertise in translating complex data insights into compelling business narratives that drive customer engagement and platform adoption Consultative Relationship Building: Proven ability to build trusted advisor relationships with C-level executives and compensation leaders through strategic business reviews and thought leadership Metrics-Driven Growth Mindset: Strong analytical capabilities with experience building and optimizing conversion funnels, customer success metrics, and revenue attribution models Compensation, It's What We Do. Salary is just one component of Pave's total compensation package for employees. Your total rewards package at Pave will include equity, top-notch medical, dental, and vision coverage, an unlimited PTO policy, and many other region-specific benefits. Your level is based on our assessment of your interview performance and experience, which you can always ask the hiring manager about to understand in more detail. This salary range may include multiple levels. The targeted cash compensation for this position is (level depends on experience and performance in the interview process): $180k OTE
Posted 30+ days ago
LTC Customer Service Data Entry Tech I 11Am To 8Pm
Williams Bros. Health CareWashington, IN
To perform duties of pharmacy technician within the confines of WB policies and procedures, ACHC standards, state laws of Indiana, and pharmacy board directives and regulations, pursuant to the assignment and direction of the pharmacy technician supervisor and/or the pharmacist in charge. Important tasks: Answering phones Entering prescriptions Triaging incoming documents Accepting faxes Helping customers on the phone Hours: 11am to 8pm. As a pharmacy technician for WB, you will positively impact the health and lives of others. You will work in an environment that provides a full cycle of services to make customers for life. We value the relationships with our customers and take important measures and precautions to ensure that their healthcare needs are met with quality and professionalism. We believe that offering a robust line of benefits supports our employee's desire to have a more fulfilling career with WB. Our benefits ensures your ability to continuously grow, stay healthy, and keep a balance between work and home. WB Benefits: Competitive Wages Health- HDHP and PPO Plans Telemedicine (Teledoc) -- $0 for Virtual Medical Visit, $20 for Virtual Dermatology Visit, and $35 for Virtual Mental Health Visit Dental Vision Infertility Treatment- Combined family maximum of $10,000 per lifetime Health Savings Account w/ Company Contribution - $500 Annually for Employee Only and $1,000 Annually for all other tiers (with the HDHP Plan only) Aflac Supplemental Plans Paid Time-Off (PTO)(2 weeks of PTO per year at 40 hours working per week) - Accrues from Day 1 of employment Annual Wellness Screening and Incentive 401k with Company Match- WB will match 100% for the first 3% and 50% for the next 2% that an employee contributes after 1 year of service and working a minimum of 1000 hours in a calendar year Employer Provided Life Insurance - $10,000 Benefit Christmas Club Daviess County YMCA - 10% Employee Discount Employee Referral Bonus Program - $1,000 after 90 days of employment Annual Fitness Reimbursement Program- Up to $100 annually 6 Paid Holidays 1 Floating Holiday - after 90 days of employment Employee Discount- 30% Discount on Over the Counter Products Do you believe the care you provide improves the lives of patients and customers? Williams Bros. Health Care Pharmacy is a family owned and operated business comprised of exceptional employees committed to providing outstanding customer service and exceeding expectations. If you share these beliefs, don't wait any longer to come join our team of caring and dedicated employees who demonstrate our core values of Customer Service, Teamwork, Dedication and Respect in every aspect of their work.
Posted 30+ days ago
VP, Data Engineering Technical Lead
Axos BankSan Diego, CA
Axos Bank Target Range: $125,000.00 /Yr. - $150,000.00 /Yr. Actual starting pay will vary based on factors including, but not limited to, geographic location, experience, skills, specialty, and education. Eligible for an Annual Discretionary Cash Bonus Target: 10% Eligible for an Annual Discretionary Restricted Stock Units Bonus Target: 10% These discretionary target bonuses may be awarded semi-annually based upon your achievement of performance goals and targets. About This Job We are seeking a hands-on VP, Data Engineering Technical Lead to help shape, modernize, and scale our enterprise data platform. This role is central to our mission of transforming legacy data systems into a modern, cloud-native Lakehouse environment that powers analytics, AI, and business intelligence across the organization. As a technical lead, you will design and deliver scalable data pipelines, define data design patterns, enforce engineering standards, and leverage AI-assisted tools to accelerate modernization, improve productivity, and reduce technical debt. You will drive proofs of concept (POCs) and points of view (POVs) to evaluate emerging technologies and frameworks, ensuring that the platform remains innovative, cost-efficient, and future-ready. Responsibilities Modernize legacy ETL pipelines: Lead the transformation of SSIS/SSRS workloads into modular, high-performance pipelines using Databricks, dbt, Fivetran, and Airflow. Architect reusable data design patterns: Define and implement standardized frameworks for ingestion, transformation, curation, and consumption layers across the Lakehouse. Develop and lead POCs/POVs: Experiment with new technologies (e.g., Delta Live Tables, Iceberg, streaming ingestion, AI-driven observability) to validate architecture choices and influence the enterprise roadmap. Leverage AI to accelerate engineering: Use AI-enabled tools like Databricks Assistant, Cursor AI, GitHub Copilot, and dbt Mesh AI tests for code generation, automated testing, documentation, and pipeline optimization. Apply ML for operational intelligence: Integrate predictive models to detect pipeline anomalies, data drift, and optimize compute and scheduling. Enforce engineering excellence: Drive CI/CD, version control, peer reviews, and observability practices across the data platform. Collaborate cross-functionally: Partner with data architects, platform engineers, analysts, and business product owners to translate business needs into technical solutions. Mentor data engineers: Provide technical guidance, foster continuous learning, and help the team adopt modern data engineering best practices. Optimize performance and cost: Continuously tune Spark workloads, storage tiers, and orchestration logic across Azure and GCP environments. Qualifications: Bachelors degree 8+ years of experience in data engineering or related technical fields, with at least 3+ years in a lead or senior role. Proven experience designing and implementing data design patterns (e.g., CDC, SCD, Medallion, Data Vault, streaming, and batch patterns). Deep expertise with Databricks, Apache Spark, dbt, Fivetran, Census, Airflow, and Kafka. Solid experience across Azure and/or GCP (e.g., Synapse, Data Factory, BigQuery, Pub/Sub). Hands-on experience modernizing legacy ETL (SSIS/SSRS) workloads into cloud-native pipelines. Demonstrated ability to build POCs and POVs that validate new tools, frameworks, or architectures. Working knowledge of AI-assisted engineering tools for development, observability, or optimization. Proficiency in SQL and one programming language (Python, Scala, or Java). Strong problem-solving, architectural thinking, and collaboration skills. Excellent communicator with the ability to translate technical topics to business stakeholders. Axos Employee Benefits May Include: Medical, Dental, Vision, and Life Insurance Paid Sick Leave, 3 weeks' Vacation, and Holidays (about 11 a year) HSA or FSA account and other voluntary benefits 401(k) Retirement Saving Plan with Employer Match Program and 529 Savings Plan Employee Mortgage Loan Program and free access to an Axos Bank Account with Self-Directed Trading About Axos Born digital-first, Axos delivers financial tools and services that allow individuals, small businesses, and companies to access and manage their money how, when, and where they want. We're a diverse team of dynamic, insightful, and independent innovators who are excited to provide technology-driven solutions that offer unbeatable value to our customers. Axos Financial is our holding company and is publicly traded on the New York Stock Exchange under the symbol "AX" (NYSE: AX). Learn more about working at Axos Pre-Employment Background Check and Drug Test: All offers are contingent upon the candidate successfully passing a credit check, criminal background check, and pre-employment drug screening, which includes screening for marijuana. Axos Bank is a federally regulated banking institution. At the federal level, marijuana is an illegal schedule 1 drug; therefore, we will not employ any person who tests positive for marijuana, regardless of state legalization. Equal Employment Opportunity: Axos is an Equal Opportunity employer. We are committed to providing equal employment opportunities to all employees and applicants without regard to race, religious creed, color, sex (including pregnancy, breast feeding and related medical conditions), gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship status, military and veteran status, marital status, age, protected medical condition, genetic information, physical disability, mental disability, or any other protected status in accordance with all applicable federal, state, and local laws. Job Functions and Work Environment: While performing the duties of this position, the employee is required to sit for extended periods of time. Manual dexterity and coordination are required while operating standard office equipment such as computer keyboard and mouse, calculator, telephone, copiers, etc. The work environment characteristics described here are representative of those an employee may encounter while performing the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of this position.
Posted 3 weeks ago
Sr. Software Engineer - Data Query
AppFolioSanta Barbara, CA
$138,400 - $173,000 / year
Description Who we are looking for: We are hiring a Senior Software Engineer in our Data Query (analytics data ingestion and data access) team to build out and enhance Appfolio's data streaming and data access systems. Our Analytics Data will be widely used to power customer facing dashboards, reports, BI integrations, and AI powered agents. Appfolio supports a significant part of the real estate market in the United States and our data can be used to unlock many insights for our customers and can be the basis for new tools and capabilities that deliver value for our customers. The first need for the analytics data will be enhanced performance metrics for our 20,000+ customers in the real estate property management industry. This will allow our customers to see trends in their operations and act accordingly to improve and grow their business. We see a future where our Data Query system provides a uniform, robust, and flexible access to data in Appfolio powering a variety of applications, all enhancing the lives and businesses of property managers. This role is pivotal to the creation and adoption of such a system - ultimately unlocking tremendous potential for the real estate industry in the coming years. Responsibilities: Build a deep understanding of our data structure and systems - enabling you and your team to build on top of and modify the existing architecture. Research and determine key architecture and design decisions to build a scalable, robust, yet simple data access layer - this will involve some combination of leveraging our existing technology, refactoring existing systems, including off the shelf systems, or starting from scratch when it makes sense. Participate in customer research/discovery with Product to understand current problems, needs, and estimate technical feasibility of various potential solutions. Work in a truly agile fashion to turn a massive, unruly problem into thinly sliced deliverables and execute quickly against them while limiting work in progress. Hold a high bar of engineering excellence and always look for ways to raise it. Adopt our engineering best practices, provide and receive in-depth code reviews, and participate in healthy debate as a team. Evangelize your own expertise and experience among your teammates and the rest of the organization. Together with your team, you ensure the data flowing through our data pipelines is tested with appropriate unit and integration tests to ensure the correct data makes it to our customers. Together with your team, your deliverables are always well-instrumented. Queries and dashboards are easily accessible and regularly used to drive decisions as well as measure progress. Enthusiastically participate in a high performing, empowered team with high levels of mutual trust and respect. Along with the team, you will take ownership of your problem space - reflecting and growing from our failures and celebrating our successes. Design and implement systems responsible for high concurrency access to large data sets Identify gaps, deficiencies and inefficiencies in the system. Propose and implement solutions. You know you're the right fit if… Experience building data pipelines at a company with large data sets especially with multi-tenant data in an agile SaaS environment. Experience working on platform teams or building platform services, whose customers are other internal teams. Proven experience working across all levels of the development stack. Proven experience with object oriented languages (python, ruby, JS, Java, C#, etc.) Strong SQL proficiency with ability to suggest optimization for query performance and cost efficiency Strong familiarity with REST APIs and web-based APIs Familiarity with core architecture principles of at scale systems Familiarity with public cloud, such as AWS, GCP, Azure Strong familiarity with Agile software development processes: Scrum or Kanban Creativity and proactivity - an ability to solve complex problems without a roadmap You love to learn about and use new tech, but understand the value of continuing to leverage existing technology when it gets the job done. You care about the long-term maintainability of the codebase and advocate for refactoring and code cleanliness. You can identify and resolve code-smells through sensible refactoring. Additional Skills and Knowledge: 5+ years of experience working in software engineering teams Comfortable working with remote team members Ability to think pragmatically and effectively balance business outcomes with technical goals Ability to establish strong working relationships with peers across other platform development teams If you are interested in creating exceptional SaaS products and being part of a successful public company, apply today! Compensation & Benefits The base salary that we reasonably expect to pay for this role is $138,400 - $173,000. The actual base salary for this role will be determined by a variety of factors, including but not limited to the candidate's skills, education, experience, etc. Please note that base pay is one important aspect of a compelling Total Rewards package. The base pay range indicated here does not include any additional benefits or bonuses/commissions that you may be eligible for based on your role and/or employment type. Regular full-time employees are eligible for benefits - see here. #LI-SS2 About AppFolio AppFolio is the technology leader powering the future of the real estate industry. Our innovative platform and trusted partnership enable our customers to connect communities, increase operational efficiency, and grow their business. For more information about AppFolio, visit appfolio.com. Why AppFolio Grow | We enable a culture of high performance, where delivering results is recognized by opportunities for growth and compelling total rewards. Our challenging and meaningful work drive the growth of our business, and ourselves. Learn | We partner with you to realize your potential by investing in you from the start. We're cultivating a team of big thinkers through coaching and mentorship with our best-in-class leaders, and giving you the time and tools to develop your skills. Impact | We are creating a world where living in, investing in, managing, and supporting communities feels magical and effortless, freeing people to thrive. We do this by innovating with purpose while cultivating a culture of impact. We learn as much from each other as we do our customers and our communities. Connect | We excel at hybrid work by fostering an environment that feels flexible, personal and connected, no matter where we are. We create space to fuel innovation and collaboration, and we come together to celebrate, connect, and succeed. Paddle as One. Learn more at appfolio.com/company/careers Statement of Equal Opportunity At AppFolio, we value diversity in backgrounds and perspectives and depend on it to drive our innovative culture. That's why we're a proud Equal Opportunity Employer, and we believe that our products, our teams, and our business are stronger because of it. This means that no matter what race, color, religion, sex, sexual orientation, gender identification, national origin, age, marital status, ancestry, physical or mental disability, or veteran status, you're always welcome at AppFolio. By submitting this form, I acknowledge I have reviewed AppFolio's Privacy Policy.
Posted 30+ days ago
Senior Data Systems Analyst
CignaKirkland, WA
$111,700 - $186,100 / year
Verity Solutions, a Cigna Company, is an award-winning leader in software and services for the federal 340B drug pricing program. Our mission is to simplify 340B program compliance, resulting in critical cost savings for our customers. We value fresh thinking, drive, transparency, and collaboration, and we are dedicated to providing agile solutions to those serving vulnerable communities. The Senior Data Systems Analyst is responsible for designing and developing data-centric solutions, ensuring data accuracy, and optimizing report performance within the Verity 340B platform. This role is key to maintaining data integrity and supporting business intelligence initiatives. Responsibilities: Analyze data patterns to answer business questions. Define requirements for data extracts and aggregation for reports and BI solutions. Collaborate with developers and product managers to ensure robust, trustworthy functionality. Create and execute data-centric test cases. Validate transactional data against business rules. Analyze datasets to ensure data integrity criteria are met. Maintain documentation for data models and solution designs. Support Operations in data setup for customer implementations and resolve data-centric issues. Maintain and update sales demo environment solutions. Participate actively in Scrum standups, grooming, sizing, and sprint planning. Communicate progress, issues, and risks promptly. Exercise data engineering best practices. Protect confidentiality of sensitive company and customer information, including HIPAA data. Promote Verity Solutions values through positive interactions with stakeholders. Qualifications: Bachelor's degree in a related field or equivalent experience. 10+ years of data engineering and/or BI experience. Knowledge of SDLC. Deep experience with databases (NoSQL required; MongoDB preferred). Demonstrated ability to test for accuracy in large datasets. Proficient in data warehousing and ETL processes. Experience with data architecture and pipeline design. Experience with reporting and data visualization tools (Tableau strongly preferred). Understanding of basic statistics and its application. Familiarity with cloud environments is highly desirable. Strong problem-solving, written, and verbal communication skills. Effective collaboration in a Scrum-based environment. Adaptability to changing requirements and business processes. Team player with a positive attitude and ability to influence others. Self-motivated, effective with minimal direction. High level of curiosity and critical thinking. Strong desire to learn new concepts. Healthcare industry experience is a major plus. If you will be working at home occasionally or permanently, the internet connection must be obtained through a cable broadband or fiber optic internet service provider with speeds of at least 10Mbps download/5Mbps upload. For this position, we anticipate offering an annual salary of 111,700 - 186,100 USD / yearly, depending on relevant factors, including experience and geographic location. This role is also anticipated to be eligible to participate in an annual bonus plan. At The Cigna Group, you'll enjoy a comprehensive range of benefits, with a focus on supporting your whole health. Starting on day one of your employment, you'll be offered several health-related benefits including medical, vision, dental, and well-being and behavioral health programs. We also offer 401(k), company paid life insurance, tuition reimbursement, a minimum of 18 days of paid time off per year and paid holidays. For more details on our employee benefits programs, click here. About Evernorth Health Services Evernorth Health Services, a division of The Cigna Group, creates pharmacy, care and benefit solutions to improve health and increase vitality. We relentlessly innovate to make the prediction, prevention and treatment of illness and disease more accessible to millions of people. Join us in driving growth and improving lives. Qualified applicants will be considered without regard to race, color, age, disability, sex, childbirth (including pregnancy) or related medical conditions including but not limited to lactation, sexual orientation, gender identity or expression, veteran or military status, religion, national origin, ancestry, marital or familial status, genetic information, status with regard to public assistance, citizenship status or any other characteristic protected by applicable equal employment opportunity laws. If you require reasonable accommodation in completing the online application process, please email: SeeYourself@cigna.com for support. Do not email SeeYourself@cigna.com for an update on your application or to provide your resume as you will not receive a response. The Cigna Group has a tobacco-free policy and reserves the right not to hire tobacco/nicotine users in states where that is legally permissible. Candidates in such states who use tobacco/nicotine will not be considered for employment unless they enter a qualifying smoking cessation program prior to the start of their employment. These states include: Alabama, Alaska, Arizona, Arkansas, Delaware, Florida, Georgia, Hawaii, Idaho, Iowa, Kansas, Maryland, Massachusetts, Michigan, Nebraska, Ohio, Pennsylvania, Texas, Utah, Vermont, and Washington State. Qualified applicants with criminal histories will be considered for employment in a manner consistent with all federal, state and local ordinances.
Posted 5 days ago
Solar And Energy Storage Remote Operator And Data Analyst
AmerescoWestborough, MA
$49 - $71 / hour
Ameresco, Inc. (NYSE:AMRC) is a leading energy solutions provider dedicated to helping customers reduce costs, enhance resilience, and decarbonize to net zero in the global energy transition. We are a trusted, full-service partner to public sector and government entities, K-12 schools, higher education, utilities, and healthcare customers across the U.S., Canada, the U.K., and Europe. At Ameresco, we show the way by developing, constructing and operating tailored smart energy efficiency solutions, distributed energy resources, and infrastructure upgrades that drive cost savings, resilience, decarbonization, and innovation. Our comprehensive portfolio is built to address the challenges of today and adapt the future, ensuring long-term sustainability and success for our customers. Ameresco is seeking a highly analytical and detail-oriented Solar and Energy Storage Remote Operator & Data Analyst to support the monitoring, analysis, and optimization of Solar and Energy storage systems performance. This position will be on on-site at the Westborough, MA location. Candidates must have an electrical engineering degree or electrical license with 2 + of solar operations and maintenance experience. This is a remote role, Monday-Friday day schedule. Responsibilities: Monitor real-time data from Solar and Energy Storage sites to identify anomalies, trends, and performance deviations. Ability to technically troubleshoot commercial solar PV and BESS systems remotely Analyze system performance metrics to ensure optimal efficiency, reliability, and compliance with industry standards. Ability to handle complex and critical issues in a timely manner. Collaborate with technical teams to diagnose system issues and propose corrective actions. The ability to remotely diagnose, troubleshoot, and reset equipment. Utilize data visualization tools and software to present insights effectively to management and engineering teams. Support predictive analytics models for performance forecasting and preventative maintenance planning. Maintain and improve data integrity, ensuring accurate and timely documentation of all analytical findings. Investigate historical trends to optimize system configurations and improve future deployments. Minimum Qualifications: Minimum of 4+ years of experience with machine learning applications for predictive maintenance in PV and BESS systems. Electrical Engineering Degree Additional Qualifications: Prior experience working or interacting with commercial PV and BESS projects Comfortable working independently, ensuring seamless handover to the next working shift. Preferred Qualifications and Experience: Electrical engineering degree or electrical license with two years + of solar operations and maintenance experience. NERC certified as System Operator or is working to gain certification. Strong proficiency in data analysis tools such as Python, SQL, Excel, and visualization platforms (Power BI, Tableau). Familiarity with SCADA systems, monitoring platforms, and renewable energy asset management software. Excellent problem-solving skills with a keen eye for identifying inefficiencies and optimization opportunities. Ability to interpret large datasets and translate findings into actionable insights for technical teams. Strong written and verbal communication skills to articulate complex technical data in a concise manner. Knowledge of grid-scale energy storage operations, market dynamics, and regulatory frameworks. Certifications in energy analytics, data science, or renewable energy technologies. The anticipated hourly range for this role is $48.55-$70.67 per hour (presented in good faith). In addition to base pay, employees receive a comprehensive benefits package, such as health insurance, retirement plans, and paid time off, and may be eligible for performance incentives, bonuses, commissions, or equity, depending on the role. Actual pay will depend on factors such as internal equity, skills, experience, education, certifications, and location. This range supports our commitment to pay transparency and compliance with applicable laws. Compensation may vary by work location, including remote arrangements. We disclose salary ranges and benefits in all required external and internal postings and will provide further details upon request at any stage of the hiring process. Applications are accepted on a rolling basis until the position is filled. #LI-AG1 Ameresco challenges the brightest, most talented, and creative individuals in the industry by providing an environment that fosters initiative and achievement. We are proud of our comprehensive and competitive employee benefits, including people-oriented insurance, investment, and incentive plans. All official communications from Ameresco will originate from an @ameresco.com email address. Any correspondence from other domains should be regarded as fraudulent. Please report any suspicious activity to the platform where the issue was encountered. For further inquiries or concerns, please contact us at 1-866-AMERESCO Ameresco is an Equal Opportunity Employer.
Posted 30+ days ago
SOX Data Analytics & AI Manager
SofiSan Francisco, CA
$115,200 - $216,000 / year
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Job Description
Employee Applicant Privacy Notice
Who we are:
Shape a brighter financial future with us.
Together with our members, we're changing the way people think about and interact with personal finance.
We're a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we're at the forefront. We're proud to come to work every day knowing that what we do has a direct impact on people's lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world.
The role:
The Sarbanes-Oxley (SOX) Program Management Office (PMO) and Testing Group at SoFi is part of the Controllership and is responsible for ensuring the company has the necessary internal control and assessment elements in place to meet the SOX requirements. The PMO facilitates risk assessment and scoping to determine project scope of each reporting year, then prepares the internal control assessment plan and accompanying timeline, inclusive of scheduling and conducting walkthroughs for each process and control, and updating corresponding control description and process flowcharts.The Testing team facilitates all SOX management assessments for SoFi and its subsidiaries by attending control walkthroughs and conducting testing for all in-scope systems and controls. The IT Testing team performs testing over IT General Control, IT Automated Controls, Key Reports and IT-related Entity Level Controls. The Data Analytics team develops and implements testing automations, evaluates new technologies and supports reporting and dashboarding for the SOX Audit.
Responsibilities for the SOX Data Analytics & AI Manager, include, but are not limited to, identifying, developing and implementing data analytics and automation solutions for the SOX PMO & Testing teams, partnering with external stakeholders to implement automation solutions related to SOX controls, providing oversight of the SOX Data Analytics program, and assisting the SOX PM with reporting as needed. The SOX Data Analytics & AI Manager will report to the SOX IT Testing & Data Analytics Senior Manager, and will work with a mix of direct, indirect, and external team members to execute the program, including the SOX PMO IT Sr Manager and PMO team, to employ strategic and critical thinking skills to develop data analytics and automations.
SoFi's fast pace of growth provides career development (e.g., work directly with senior and executive management) and learning opportunities (e.g., new system implementations) considering the role's enterprise-wide exposure.
What you'll do:
- Use data analytics, automation techniques and AI to increase efficiency and effectiveness in the SOX program execution (e.g., risk assessments, testing, fraud risk detection, deficiency analysis), program analytics/monitoring as well advise the business control owners on mechanisms to automate controls.
- Develop, Build and Lead the SOX Data Analytics and AI program
- Create SOX Data Analytics and AI program framework and policy/standards
- Work closely with the SOX team and cross-functional stakeholders to translate business objectives into technical specifications for data analytics and automation projects. This includes understanding the SOX business need, identifying technical requirements and bridging the gap between complex data and systems, business needs and internal control requirements.
- Lead the integration of AI and Automation tools to enhance testing efficiency. Develop and deploy automated continuous control monitoring solutions to provide comprehensive coverage of high-risk areas, shifting from point-in-time assurance to continuous assurance
- Design and implement automated data pipelines, build SQL queries and data extraction scripts for evidence retrieval and control testing, reducing manual intervention
- Collaborate with business stakeholders and EPD teams to design and implement integrated solutions that meet business and internal control requirements.
- Identify opportunities for process improvement through automation within the internal control environment.
- Partner with other Data Analytics teams across the three lines of defense to drive cross-functional data analytics projects, such as the build out of a shared data warehouse and code library, and harmonize risk and control reporting across.
- Establish internal policies, procedures and standards for the deployment and use of Automation and AI within the internal control environment.
- Collaborate with the SOX Sr Director, SOX Sr Program Manager, SOX IT Testing Lead and other SOX Leads to identify reporting needs, develop and implement dashboards, including the monitoring of SOX Program (e.g., Audit Status, Issue Trends, Resourcing, Budgeting)
- Key management consultant, and internal controls expert in building and maintaining ongoing relationships with the various lines of business included in the company's SOX process.
- Responsibilities also include the following: 1) adhering to and complying with all applicable, federal and state laws, regulations and guidance 2) adhering to company policies and procedures, 3) completing required training.
- Support other assignment and ad hoc matters as required
What you'll need:
- Education: Bachelor's Degree.
- 5-7 or more years of Data Analytics experience, including 2-3 years of data analytics within internal audit control teams
- Proficiency in SQL, Python and other languages, including writing complex SQL queries to pull data
- Experience with business intelligence, data warehousing and dashboarding, including Snowflake, Tableau and PowerBI
- Ability to work independently and lead in ambiguity and in a fast-paced environment
- Understanding of data lineage and integrity
- Driven by Excellence - you are driven by our mission and our passion for customer success which means you relentlessly pursue excellence, that you do not tolerate mediocrity and you work intensely to achieve your goals
- High Integrity - you seek open and honest communication, and you hold yourself to very high moral and ethical standards
- You reject manipulation, dishonesty and intolerance
- Critical thinking, analytical and strategic skills
- Ability to independently navigate within an ambiguous environment
- Organized, detailed, proactive, self-motivated, collaborative
- Proven ability to work cross functionally and adapt to change are extremely important
- Ability to prioritize workloads and ensure deadlines are consistently met
- High integrity and ability to handle confidential information
- Ability to define deliverables, build budgets and project plans, align resources and specialists for project teams
- Strong project management skills and organizing ability with successful experience in concurrently managing multiple projects at varying levels of technical difficulty
- Strong teamwork and communication skills (both oral and written)
Nice to have:
- Big 4 Accounting Firm experience is strongly preferred.
- CPA and CIA/CISA or strongly preferred
- Prefer FinTech, banking and/or financial services experience primarily focused on IT SOX or IT enterprise-wide risk management and ICFR controls consulting.
- Practical and deep knowledge of IT / BP SOX, ICFR and COSO and baseline understanding of business process controls.
- Expertise in performing SOX testing, including ITGCs, ITACs, Manual Controls and Key Report Testing (e.g., examining report configurations, scripts)
Compensation and Benefits
The base pay range for this role is listed below. Final base pay offer will be determined based on individual factors such as the candidate's experience, skills, and location.
To view all of our comprehensive and competitive benefits, visit our Benefits at SoFi page!
Pay range: $115,200.00 - $216,000.00
Payment frequency: Annual
This role is also eligible for a bonus, long term incentives and competitive benefits. More information about our employee benefits can be found in the link above.
SoFi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law.
The Company hires the best qualified candidate for the job, without regard to protected characteristics.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
New York applicants: Notice of Employee Rights
SoFi is committed to an inclusive culture. As part of this commitment, SoFi offers reasonable accommodations to candidates with physical or mental disabilities. If you need accommodations to participate in the job application or interview process, please let your recruiter know or email accommodations@sofi.com.
Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time.
Internal Employees
If you are a current employee, do not apply here - please navigate to our Internal Job Board in Greenhouse to apply to our open roles.
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