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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, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. 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

Mantis Innovation is a leading facility performance consultant and project delivery engine that delivers smart, sustainable solutions that improve facility performance and unlock operational efficiencies. We serve over 70% of what a building owner/operator spends on their buildings inside and out, including the building envelope, pavements, mechanical systems, lighting, energy procurement, and technology ecosystem. Our company delivers custom outcomes for our clients that reduce operating costs, flatten capital spending, reduce carbon emissions, and drive sustainability ambition. General Purpose: The BMS Technical Solution Sales Executive will drive client growth for our data center facility solutions, specifically related to building automation systems. This role involves identifying and developing building management system (BMS) strategies that improve operational efficiency, sustainability, and energy performance. We are looking for candidates who know about data center facility configurations, not data racking configurations* You will work closely with controls engineers, sales engineers, project managers, and client stakeholders to audit current systems, develop control strategies, build solution proposals, and close project opportunities. This position requires a consultative sales approach focused on understanding building infrastructure challenges and applying best-fit BMS building technologies. Travel is required for on-site evaluations and client engagement. Here's what you'll do: Quickly evaluate existing systems in data centers and commercial/industrial facilities (BMS/controls, electrical, lighting, HVAC, mechanical,) and propose tailored BMS solutions that optimize performance, energy usage, cost of construction, occupant comfort, and probable utility incentive benefits. Conduct site audits and assessments to understand facility needs and identify solution opportunities. Create and revise solution scopes to meet ROI, payback, and performance targets. Present solution strategies and value-based proposals to decision-makers, facility managers, and engineers. Lead and manage the full sales cycle to achieve annual quota from building and managing pipeline to developing opportunities through deal closure, including contract negotiations. Create and maintain a territory-specific sales plan with defined targets and growth strategies. Utilize business and financial knowledge to develop compelling value propositions that align with client goals. Coordinate internal stakeholders in crafting customized deal structures and solution positioning. Qualify inbound and outbound opportunities and manage demand generation efforts. Engage in high-level executive conversations to understand business priorities, financial drivers, and strategic objectives. Navigate complex accounts with multiple sites, global footprints, or high operational complexity. Share best practices across the sales organization and support coaching of fellow sales executives. Collaborate with utility providers and internal teams to qualify projects for available energy incentives and rebates. Drive favorable solution specifications and influence smart building standards with consultants and design engineers. Coordinate with solution engineers and project delivery teams to ensure project feasibility, profitability, and execution success. Develop and maintain strong relationships with key stakeholders including end users, contractors, and engineering firms. Travel for client-facing meetings, site visits, and presentations (estimated 40-50%). Qualifications: 5+ years of complex solution selling experience in building automation, energy efficiency, and critical facility/data center environments. Demonstrated success in developing and closing BMS, automation, or facility performance projects of $5M or more. Experience working with engineers, contractors, and utility incentive programs. Knowledge and experience with OEM building control platforms, automation architecture, and integration strategies. Proficiency with Microsoft Office Suite, Salesforce (or comparable CRM tools) preferred. Skills of the job: Strong knowledge of mechanical and electrical systems, building controls, and integration platforms. Strong consultative selling and client relationship management skills. Ability to translate technical information into compelling business value propositions. Detail-oriented with strong organizational and time-management skills. Confident, coachable, and proactive with a growth mindset. Excellent verbal and written communication skills. Passion for continuous learning and innovation in smart building technologies. $125,000 - $375,000 a year The above salary mentioned is OTE (On-Target Earnings): base salary PLUS commission What else can we offer you? We offer a fantastic lineup of benefits, including Medical, Dental, Vision, FSA, HSA, 401k Matching, Paid Vacation, Paid Sick, Paid Holidays, Paid Parental Leave, Paid Short Term & Long Term Disability, Tuition Reimbursement, and a flexible hybrid work schedule (for office-based employees). Working at Mantis also brings tremendous professional development opportunities that allow you to make a real impact on both the company and your career! Don't meet every single requirement? Studies have shown that women and members of historically marginalized communities are less likely to apply to jobs unless they meet every single qualification. At Mantis we are dedicated to building a diverse, equitable, and inclusive workplace, so if this role has you excited but your past experience doesn't align perfectly with every qualification we encourage you to still apply! Note: Employees are held accountable for all duties of this job. This job description is not intended to be an exhaustive list of all duties, responsibilities, or qualifications associated with the position. Mantis Innovation is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.

TransUnion's Job Applicant Privacy Notice Personal Information We Collect Your Privacy Choices What We'll Bring: At TransUnion, we have a welcoming and energetic environment that encourages collaboration and innovation we're - consistently exploring new technologies and tools to be agile. This environment gives our people the opportunity to hone current skills and build new capabilities, while discovering their genius. Come be a part of our team - you'll work with great people, pioneering products and cutting-edge technology. What You'll Bring: Master's or PhD degree in statistics, applied mathematics, physics, financial mathematics, computer science, engineering, operations research, or other highly quantitative field; or a Bachelor's degree in a quantitative field with at least 3+ years of experience 3+ years of experience and demonstrated success directly supporting internal or external clients Evidence of strong analytical, critical, and creative thinking and willingness to take initiative in problem-solving. Demonstrated interest and proven career path in industries served by TransUnion, such as financial services, insurance, fraud, and digital marketing Advanced programming skills and aptitude; proficiency with statistical programs such as R or Python; experience with other programming languages (SQL, C/C++, Java, Ab Initio) and platforms (Hive, Spark) Strong understanding of deep learning concepts and architectures, particularly those related to generative models Familiarity with knowledge graphs, experience with Resource Description Framework (RDF) data and query languages (SPARQL), ability to optimize queries for efficiency and performance, experience in creating or modifying ontologies to suit project needs Strong background in time series analysis with experience in modeling and forecasting time series data, familiarity with machine learning frameworks (PyTorch, TensorFlow) and hands-on experience in implementing ML/AI solutions Good verbal and written communication skills. Proven ability to translate technical concepts into articulate actionable recommendations in a manner that is suitable to influence business partners and decision-makers inside and outside the organization towards desired outcomes We'd Love to See: 4+ years of experience performing analytic work, preferably in industries served by TransUnion Impact You'll Make: This position is responsible for leading the development of analytic solutions through consulting engagements for TransUnion's clients across a broad array of credit, fraud, insurance and marketing business applications. This position requires a good general understanding of US financial services risk management practices and familiarity with credit bureau data and solutions. You will be a leading key contributor to cross-functional teams that drive new business initiatives and deliver long term, value-added solutions to TransUnion customers. These tasks will include -among others- the development of analytic solutions to complex problems with a high degree of autonomy and limited supervision. You will own analytic consulting responsibilities for a variety of clients, working to identify strategies and opportunities to test and adopt TransUnion's analytic products and services. In this capacity, you will interact directly with TransUnion Sales and business unit partners and provide an analytic perspective and general support as needed. You will lead complex custom analytic engagements in support of a variety of business use cases from start to finish: contributing to opportunity management (e.g. writing RFP responses), designing solutions, leading analytic developments, and seeing solutions through to deployment and on-going monitoring. You will deliver analytic insights and recommendations in succinct and compelling presentations for internal and external customers representing a wide range of backgrounds and levels. You will provide oversight and hands-on support for the development of analytic solutions using languages such as R or Python, formalizing some of these efforts into repeatable process improvements. You will contribute to research and innovation initiatives in collaboration with other DSA peers and may lead small analytic research teams or manage research interns on a project basis, as needed. You will participate in the mentoring and training of junior colleagues, fostering a high-performance culture and cultivating an environment that promotes excellence and reflects the TransUnion brand. You may participate in the interviewing and evaluation of new talent. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, Fair Chance Initiative for Hiring Ordinance, and the California Fair Chance Act. Adherence to Company policies, sound judgment and trustworthiness, working safely, communicating respectfully, and safeguarding business operations, confidential and proprietary information, and the Company's reputation are also essential expectations of this position. This is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week. Benefits: TransUnion provides flexible benefits including flexible time off for exempt associates, paid time off for non-exempt associates, up to 12 paid holidays per year, health benefits (including medical, dental, and vision plan options and health spending accounts), mental health support, disability benefits, up to 12 weeks of paid parental leave, adoption assistance, fertility planning coverage, legal benefits, long-term care insurance, commuter benefits, tuition reimbursement, charity gift matching, employee stock purchase plan, 401(k) retirement savings with employer match, and access to TransUnion's Employee Resource Groups. Spousal, domestic partner, and other eligible dependent coverage is available on select health and welfare plans. We are committed to being a place where diversity is not only present, it is embraced. As an equal opportunity employer, all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability status, veteran status, genetic information, marital status, citizenship status, sexual orientation, gender identity or any other characteristic protected by law. Pay Scale Information : The U.S. base salary range for this position is $90,000.00 - $150,000 annually. *The salary range for this position reflects a reasonable estimate of the range of compensation for this job. At TransUnion, actual compensation is based on careful consideration of additional factors such as (but not limited to) an individual's education, training, work experience, job-related skill set, location, and industry knowledge, as well as the scope and responsibilities of the position and market considerations. Regular, fulltime non-sales positions may be eligible to participate in TransUnion's annual bonus plan. Certain positions may be also eligible for long-term incentives and other payments based on applicable company guidance and plan documents. TransUnion's Internal Job Title: Sr Consultant, Data Science and Analytics

JLL empowers you to shape a brighter way. Our people at JLL and JLL Technologies are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong. Whether you've got deep experience in commercial real estate, skilled trades or technology, or you're looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward. At JLL, we value what makes you unique, and we're committed to giving you the opportunity, knowledge and tools to own your success. Explore opportunities to advance your career from within, whether you're looking to move up, broaden your experience or deepen your expertise. JLL's purpose-driven global sustainability program delivers impact on climate action for sustainable real estate, healthy spaces for all people and thriving communities. We are a rapidly expanding team, and over time we continuously support your growth with development opportunities available within our data and analytics teams. What this job involves We are seeking a Sustainability Data Analyst with a minimum of 4-6 years of experience in the relevant field to join our team. You will be responsible for the sustainability data collection, management, analysis and reporting, compliance and reporting functions for a wide range of assets across JLL. As a member of the JLL Sustainable Operations team, you will ensure our sustainability services are effectively and efficiently delivered. This position is a hybrid role (2 days a week in office) requires in office presence in McLean, VA, Plano, TX or Richmond, VA and may require periodic travel. Key responsibilities include: Sustainability data collection and management- Collecting and providing quarterly and annual energy, water and waste reports, including QA/QC, reviewing with the client, and working with vendors to make necessary corrections GHG Inventory Support- Collaborating with account stakeholders to review and ensure compliance in refrigerant, diesel and propane data Energy and Water Consumption Variance Program- Identify and investigate anomalies with building operations data, collaborate with JLL teams and provide reports to client. Sustainability Capital Projects and Green Building Certification- Support data analytics needs for supporting project development and implementation. Utility Budget Development- Collaborating with the Finance team to develop utility budget utilizing baseline energy usage and projected monthly rate changes for electric, gas, and water/sewer. Utility Data Collection & Bill Payment- Working with utility bill pay partner and Finance team to ensure timely bill payment and utility account open/close services. Performing daily, monthly and quarterly data quality checks to ensure utility data digitization accuracy. Energy Star Benchmarking- Lead processes to update portfolio manager account on a regular basis, including maintaining accurate property details and energy usage data. Regulatory Compliance & Benchmarking- Collaborating with account stakeholders to review and ensure compliance with local, state and federal energy regulations, including reporting requirements for emissions and sustainability programs Sound like you? Experience with sustainability management platforms and data visualization tools. University Degree Graduate/postgraduate in Environmental Engineering, Sustainability, or related fields) 5 plus years' experience in related fields Certification in sustainability or data analysis (e.g., LEED, SASB). A passion for Sustainability and pulling together associated Data and Reporting. Demonstrated experience in developing insights, actions, project ideation across energy, water, GHG emissions and waste data aspects Self-motivated with excellent attention to detail and ability to work autonomously. Advanced Excel skills, efficient management of Office Management tools and Project management trackers Strong analytical and problem-solving skills. Proven excellent communication and presentation skills. Knowledge of sustainability standards and reporting frameworks (e.g., GRI, CDP, SASB) Experience working in a collaborative way with clients and other stakeholders to identify and solution for effective and impactful communications and engagement An understanding of the key sustainability issues for corporate occupiers of real estate including, but not limited to; decarbonization, embodied carbon, circularity, resource preservation, biodiversity, climate risk, health & wellbeing, and social value creation Experience working with corporate clients, commercial property, property managers and an understanding of the landlord and tenant relationship is desirable Excellent ability to build relationships with clients and their internal teams A strong track record of managing program governance and complex documentation in a controlled systematic manner Attention to detail and accuracy in written and numeric work Ability to obtain buy-in and engagement from employees at all levels Behavioral Competencies Think Big- Thinks strategically, simplifies the complex, solves complex problems, sees the big picture Drive Change- Thrives on change, learning agility, intellectually curious, appetite for risks, digital drive Helps others- Builds relationships, actively collaborates, helps others succeed Get it done- Acts decisively, drives results, passion to win, takes ownership, accountable, resilient Business first- Focuses on customers and clients, business/financial acumen Inspire- Inspire others, creates services strategy and supporting tactical plans, energizes others Location: On-site- McLean, VA, Plano, TX, Richmond, VA Job Tags: If this job description resonates with you, we encourage you to apply, even if you don't meet all the requirements. We're interested in getting to know you and what you bring to the table! Personalized benefits that support personal well-being and growth: JLL recognizes the impact that the workplace can have on your wellness, so we offer a supportive culture and comprehensive benefits package that prioritizes mental, physical and emotional health. Some of these benefits may include: 401(k) plan with matching company contributions Comprehensive Medical, Dental & Vision Care Paid parental leave at 100% of salary Paid Time Off and Company Holidays JLL Privacy Notice Jones Lang LaSalle (JLL), together with its subsidiaries and affiliates, is a leading global provider of real estate and investment management services. We take our responsibility to protect the personal information provided to us seriously. Generally the personal information we collect from you are for the purposes of processing in connection with JLL's recruitment process. We endeavour to keep your personal information secure with appropriate level of security and keep for as long as we need it for legitimate business or legal reasons. We will then delete it safely and securely. For more information about how JLL processes your personal data, please view our Candidate Privacy Statement. For additional details please see our career site pages for each country. For candidates in the United States, please see a full copy of our Equal Employment Opportunity and Affirmative Action policy here. Jones Lang LaSalle ("JLL") is an Equal Opportunity Employer and is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process - including the online application and/or overall selection process - you may contact us at Accommodation Requests. This email is only to request an accommodation. Please direct any other general recruiting inquiries to our Contact Us page > I want to work for JLL. Accepting applications on an ongoing basis until candidate identified.

Innovation starts from the heart. At Edwards Lifesciences, we're dedicated to developing ground-breaking technologies with a genuine impact on patients' lives. At the core of this commitment is our investment in cutting-edge information technology. This supports our innovation and collaboration on a global scale, enabling our diverse teams to optimize both efficiency and success. As part of our IT team, your expertise and commitment will help facilitate our patient-focused mission by developing and enhancing technological solutions. Edwards Lifesciences is seeking a visionary and execution-focused Senior Director of Data & AI Integration to lead our enterprise-wide data engineering, integration, and analytics functions. This leader will be instrumental in shaping and executing our data and AI strategy, enabling transformative insights across various business domains. How you'll make an impact: Strategic Leadership: Define and drive the enterprise data and AI integration roadmap, aligning with Edwards' mission to improve patient outcomes through innovation in structural heart disease. Champion a modern data and AI architecture that supports scalability, agility, and innovation. Team Leadership & Development: Lead and grow high-performing teams across data engineering, data integration, and advanced analytics. Foster a culture of innovation, agility, and continuous learning. Provide technical mentorship to senior engineers and architects. AI-Driven Integration: Spearhead the integration of AI/ML capabilities into data pipelines and platforms to enable predictive insights, intelligent automation, and real-time decision support. Drive adoption of Agentic AI frameworks to enable autonomous, goal-driven systems that enhance decision-making and operational efficiency. Enterprise Data Architecture: Oversee the design and implementation of scalable, secure, and interoperable data platforms. Platforms such as data lakes, data warehouses, ETL tools, data quality and MDM. Ensure seamless integration with AI capabilities using platforms such as Snowflake, AWS Bedrock and AWS Athena. Cross-Functional Collaboration: Partner with business units and functions to identify high-impact opportunities for data and AI to accelerate innovation and operational excellence. Promote a product-centric mindset for data and analytics capabilities. Governance & Compliance: Ensure adherence to data governance, privacy, and AI ethics standards. Establish robust data quality and lineage practices across the enterprise. Innovation & Thought Leadership: Stay ahead of emerging trends in Agentic AI, data mesh, and cloud-native architectures. Represent Edwards in external forums and industry groups on data and AI innovation. What you'll need (Required): Bachelor's in related field + 17 years' experience -or- master's degree in related field + 14 years' experience 7+ years of experience in data engineering, analytics, or AI, with at least 5 years in a senior leadership role. Proven track record of delivering enterprise-scale data and AI solutions in healthcare, life sciences, or similarly regulated industries. What else we look for (Preferred): Cloud data platforms: Snowflake, AWS (especially Athena), Azure AI/ML frameworks: TensorFlow, PyTorch, AI development tools like LangChain, or similar Agentic AI systems and orchestration frameworks Modern data integration tools and real-time data streaming Strong understanding of data governance, security, and compliance in a global enterprise. Demonstrated ability to set technical strategy and provide hands-on mentorship to engineering teams. Exceptional communication and stakeholder management skills. Aligning our overall business objectives with performance, we offer competitive salaries, performance-based incentives, and a wide variety of benefits programs to address the diverse individual needs of our employees and their families. For California, the base pay range for this position is $187,000 to $265,000 (highly experienced). The pay for the successful candidate will depend on various factors (e.g., qualifications, education, prior experience). Applications will be accepted while this position is posted on our Careers website. Edwards is an Equal Opportunity/Affirmative Action employer including protected Veterans and individuals with disabilities. COVID Vaccination Requirement Edwards is committed to protecting our vulnerable patients and the healthcare providers who are treating them. As such, all patient-facing and in-hospital positions require COVID-19 vaccination. If hired into a covered role, as a condition of employment, you will be required to submit proof that you have been vaccinated for COVID-19, unless you request and are granted a medical or religious accommodation for exemption from the vaccination requirement. This vaccination requirement does not apply in locations where it is prohibited by law to impose vaccination.

Job Description: Sr Staff Engineer - Finance Data Specialist GEICO is seeking experienced Finance Data specialists to provide expertise and guidance in supporting the build out of a Finance data lake/warehouse. This individual must have the ability to provide coaching to business teams and technologists by guiding, planning, and partnering at various levels. This specialist will partner with the engineering teams in the establishment of a new Finance Data Warehouse. This role requires strong functional and technical Finance Systems background to partner with the Business and have effective discussions driving the capture, transformation, and utilization of Finance data to meet Business goals. The Senior Staff Engineer, Finance Data Specialist will report to the Senior Manager of Finance Data & Analytics and will provide solutions on how to build out, maintain, and support a Finance Data Warehouse/Lake to support FP&A processing and analytics while also supporting the larger Finance organization's need for Finance data. This role will work with multiple Finance and Technology leaders to set the strategy for building out the company's Finance Data Warehouse/Lake to provide a central repository for all Financial related transactions so it can be a reconciled source of truth for processing and the source for Revenue and Expense analytics. The individual in this role will be a key advisor and partner to the Finance Leadership to redesign the way they use their technologies in managing GEICO's business. The Finance Data Specialist is also accountable to support the delivery of technology solutions that will support FP&A Planning/Budgeting, financial reporting, Revenue/Expense Analytics, and the build out of the Finance Data Warehouse to become a reconciled source to allow the GL to become a "thin" ledger. The ideal candidate has deep Finance Systems experience across multiple companies to support deploying best practices, leveraging their broad and deep knowledge of various ERPs (e.g. Oracle; Workday; SAP or PeopleSoft). Prior Financial Systems experience is required, with a deep understanding of the functional and technical aspects of ERP and Data Warehouse systems. Position Responsibilities As a Senior Staff Engineer, Finance Data Specialist supporting Finance Systems you will: Leverage your deep Functional and Technical systems expertise to drive towards the right solution to support the department and GEICO's current and future needs Engage in cross-functional collaboration throughout the entire software lifecycle Lead design sessions with peers to ensure systems are well designed, efficient, and meet Business expectations Collaborate with Finance Leaders within the FP&A, Controllers, Financial Reporting, and Finance QA & Systems team along with the Data Engineering and Finance Technology leaders to ensure organizational goals are met Have a deep understanding of Finance functions to support the establishment of a vision and technology roadmap to build out a Finance Data Lake/Warehouse Have a good understanding of finance data lake/mart with Data processing/data transformation using ETL/ELT tools such as Informatica, DBT, etc. Experience with designing, developing, implementing, and maintaining solutions for data ingestion and transformation projects Experience working with cloud data solutions (Delta Lake, Iceberg, Hudi, Snowflake, Redshift or equivalent) Support the development of a roadmap and then work towards implementing Revenue and Expense Analytical solutions Work with Business Sponsors to develop project roadmaps which align to business objectives and sequenced by priority and resource availability Support and influence customers and stakeholders, and work through divergent expectations Support the implementation of a strong control and governance framework and maintain it for SOX and Audit reviews Support Business and Technology discussions at various leadership levels to ensure alignment towards long term goals of Finance and Technology Analyze and translate business and functional specifications and change requests into technical specifications Consistently share best practices and improve processes within and across teams Qualifications 20+ years of Finance Systems experience with industry leading ERP solutions (e.g. implementing and supporting PeopleSoft; Oracle EBS; Oracle Cloud; Workday; or SAP) 5+ years of experience in implementing and supporting FP&A applications (Preferred) 5+ years working with or supporting a Finance Data Lake/Warehouse/Mart along with various Financial Reporting tools Solid understanding of Dimensional Data Modeling Strong working knowledge of Data processing/data transformation using ETL/ELT tools such as Informatica, DBT, etc. Strong working knowledge of SQL and the ability to write, debug and optimize SQL queries and ETL jobs 5+ years as a lead or architect supporting Financials via the major vendors (e.g. PeopleSoft; Oracle EBS; Oracle Cloud; Workday; or SAP) Deep Finance domain expertise to be able to work with senior Finance leaders to interpret their process and functional needs into system solutions Strong understanding of FP&A Budgeting, Planning, and Reforecasting processes Experience in implementing or supporting Revenue or Expense analytical solutions via tools such as Power BI, Tableau, etc. Strong understanding of Accounting process and reporting expectations to partner with senior Finance Leaders Ability to communicate and work directly with leaders across Technology and Finance Sound understanding of project management techniques, methodologies, and best practices Strong problem-solving abilities Ability to excel in a fast-paced environment Knowledge and experience with the software development life cycle Ability to work independently and in a team-oriented collaborative environment Education Bachelor's degree in Computer Science, Information Systems, Engineering, Business Administration, or equivalent education or work experience Annual Salary $115,000.00 - $260,000.00 The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate's work experience, education and training, the work location as well as market and business considerations. At this time, GEICO will not sponsor a new applicant for employment authorization for this position. The GEICO Pledge: Great Company: At GEICO, we help our customers through life's twists and turns. Our mission is to protect people when they need it most and we're constantly evolving to stay ahead of their needs. We're an iconic brand that thrives on innovation, exceeding our customers' expectations and enabling our collective success. From day one, you'll take on exciting challenges that help you grow and collaborate with dynamic teams who want to make a positive impact on people's lives. Great Careers: We offer a career where you can learn, grow, and thrive through personalized development programs, created with your career - and your potential - in mind. You'll have access to industry leading training, certification assistance, career mentorship and coaching with supportive leaders at all levels. Great Culture: We foster an inclusive culture of shared success, rooted in integrity, a bias for action and a winning mindset. Grounded by our core values, we have an an established culture of caring, inclusion, and belonging, that values different perspectives. Our teams are led by dynamic, multi-faceted teams led by supportive leaders, driven by performance excellence and unified under a shared purpose. As part of our culture, we also offer employee engagement and recognition programs that reward the positive impact our work makes on the lives of our customers. Great Rewards: We offer compensation and benefits built to enhance your physical well-being, mental and emotional health and financial future. Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family's overall well-being. Financial benefits including market-competitive compensation; a 401K savings plan vested from day one that offers a 6% match; performance and recognition-based incentives; and tuition assistance. Access to additional benefits like mental healthcare as well as fertility and adoption assistance. Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year. The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled. GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.

The Director of Product for Data & Analytics reports to the VP of Product and will play a pivotal role in driving the evolution of our analytics offerings by leading the product vision and strategy for multifamily analytics powered by machine learning and Agentic AI. The scope and impact of this role are significant. You will collaborate closely with cross-functional teams, including engineering, platform, legal, data science and other product teams to deliver the next generation of analytics powered by AI. You will be responsible for building the product's vision, strategy and execution to define intelligent interaction of insights, analytics and data for the multifamily vertical. The ideal candidate is experienced building B2B SaaS based analytics & AI applications from scratch, lead and develop a team of product managers, possess a deep technical understanding of modern AI, data storytelling and visualization, and is an outcome oriented, results driven leader demonstrating a commitment to excellence. Please find the job description for your reference below. PRIMARY RESPONSIBILITIES Deeply understand customer needs, corporate policy, business strategy, and AI ML and Agentic QAI capabilities to develop the product vision and strategy, maximizing business and customer impact, that drives revenue growth. Drive roadmap prioritization and execution, based on value-added outcomes, with a ruthless MVP mindset, with the following: Collaborate with strategic customers, executive management, product peers, data science and engineering to align priorities with enterprise objectives Work closely with data science and engineering to ensure the technical feasibility and scalability of product roadmap Periodic review of new and existing controls and business processes to gain insight into efficacy of capabilities and incorporate a continuous feedback loop informing future enhancements and priorities Lead and mentor a team of product managers, fostering a culture of collaboration, innovation, and excellence. Provide guidance to team members on best-in-class practices for business cases, backlog management, story writing, requirements validation, acceptance criteria, release plans, managing projects, quality measures, beta programs, defect resolution, etc Accountable for team member assignments, based on capacity, strengths, and product needs. Drive product introduction and launch readiness, including field and operational enablement Drive projects and track milestone dates, delivering project updates to leadership Formally review features for acceptance, including meeting the consumer benefit, acceptance criteria and desired level of quality Participate and/or present in demos to relevant stakeholders Keep meeting notes and follow up on action items REQUIRED KNOWLEDGE/SKILLS/ABILITIES Bachelor's degree required in a Computer Science, Data Science, or related field (Masters preferred) 9-12years of progressive product management experience with B2B data, analytics and AI based solutions, with at least 5 years of experience managing direct reports. Proven track record successfully launching, from scratch, enterprise analytics-centric SaaS solutions to market driving revenue growth in a leadership capacity. Demonstrable passion, experience and competency for: machine learning, conversational analytics, data storytelling and data visualization Demonstrated executive presence with the ability to interact confidently and professionally with customer executives and senior stakeholders, effectively representing the product vision and company objectives in strategic product discussions Leverages product intuition and judgment to solve problems and make decisions without perfect information Exceptional written communication skills including process and product documentation and demonstrable track record successfully negotiating priorities and managing executive stakeholder expectations Insatiable curiosity to learn new domains, keep up with industry innovation and regulatory trends, and constantly ask 'why' A strong leader who is results driven, holds themselves accountable to achieve outcomes and demonstrates a commitment to excellence Previous experience working in an agile environment and using recognized development methodologies (e.g., Agile, SCRUM, KANBAN). Proficient in Microsoft Office products, including PowerPOint and Excel PREFERRED KNOWLEDGE/SKILLS/ABILITIES Previous experience with conversational analytics leveraging Generative and Agentic AI is highly desired Experience with PowerBI and Fabric is preferred Real Estate experience is preferred but not a requirement. Previous experience working with project management and collaboration tools (SharePoint, Confluence, Salesforce, Azure DevOps) is a plus.

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 Marketing Data Science team is looking to add a Staff Data Scientist who will help shape Home Loans/Home Equity targeting decisions and strategies. The Staff Data Scientist will be working closely with Marketing Managers, Business Units, Product & finance partners to build and grow SoFi Home Loans (HL) and Home Equity Loans (HE, including HELOAN & HELOC) products into a top choice for consumers to "Get Your Money Right". What you'll do: Develop a holistic HL & HE marketing and offer strategy spanning across multiple channels, and an end-to-end offer strategy framework to constantly experiment and optimize offer construct, product preference, and audience selection. Explore bureau data and other 3rd party non-FCRA data to improve the marketing strategies and conversion rate, and proactively identify and capitalize on opportunities to improve the acquisition funnel. Measure and analyze the effectiveness and ROI (return on investment) of the marketing strategies, make data-driven recommendations and drive informed actions. Work with experienced data scientists to own all of the analytics tasks in HL/HE, and potentially support the requests for other lending products. Transform business objectives into data-driven, actionable tactics and campaigns that generate immediate results and establish a robust foundation for sustained growth. Convert complex data into compelling narratives and concise presentations that inform and guide decision-making at the senior management level. Fulfill partner requests promptly by providing timely analysis, adeptly navigating ambiguity, and focusing on solution-oriented approaches. Collaborate cross functionally with Marketing, Business Unit, Risk, Finance, Product and Engineering, assist senior business leaders in the development of new features. What you'll need: Bachelor's degree required (Masters preferred) in Computer Science, Math, Physics, Engineering or quantitative field. 8+ years of relevant marketing experience in the financial services industry, with a focus on pre-screened/pre-approved campaigns. Strong preference for industry experience in Home Equity loans or Mortgage. Proficiency in SQL, Python, and Tableau. Experience building data pipelines with Airflow, preferably in Snowflake. Demonstrated experience with experimentation and hypothesis testing. Knowledge of statistical modeling or machine learning is a plus. High intellectual curiosity and a quick learner of new technical skills. Ability to initiate and drive projects independently to completion, and ability to clearly communicate technical information to diverse audiences. Strong relationship-building and collaborative skills. Ability to thrive in a dynamic, cross-functional environment with keen attention to detail. 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: $108,800.00 - $204,000.00 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 embracing diversity. 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.

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Director Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Translating the vision, you set the tone, and inspire others to follow. Your role is crucial in driving business growth, shaping the direction of client engagements, and mentoring the next generation of leaders. You are expected to be a guardian of PwC's reputation, understanding that quality, integrity, inclusion and a commercial mindset are all foundational to our success. You create a healthy working environment while maximising client satisfaction. You cultivate the potential in others and actively team across the PwC Network, understanding tradeoffs, and leveraging our collective strength. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Lead in line with our values and brand. Develop new ideas, solutions, and structures; drive thought leadership. Solve problems by exploring multiple angles and using creativity, encouraging others to do the same. Balance long-term, short-term, detail-oriented, and big picture thinking. Make strategic choices and drive change by addressing system-level enablers. Promote technological advances, creating an environment where people and technology thrive together. Identify gaps in the market and convert opportunities to success for the Firm. Adhere to and enforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance) the Firm's code of conduct, and independence requirements. As part of the Data and Analytics Engineering team you lead the design and implementation of thorough data architecture strategies. As a Director, you drive thought leadership, promote technological advances, and create an environment where people and technology thrive together. This role involves collaborating with business stakeholders to translate data requirements into technical solutions and safeguarding data architecture compliance with governance and security policies. Responsibilities Lead the creation and execution of data architecture strategies Drive innovation and thought leadership in data solutions Collaborate with stakeholders to align technical solutions with business needs Maintain compliance with data governance and security protocols Promote an environment where technology and people excel together Translate complex data requirements into actionable technical plans Oversee the implementation of advanced data technologies Facilitate cross-functional collaboration to enhance data architecture What You Must Have Bachelor's Degree 10 years of experience What Sets You Apart Certification in Cloud Platforms [e.g., AWS Certified Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Certified: Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus Proficient in Python and structured/unstructured data Proficient in SQL and relational databases Writing and maintaining FastAPI endpoints for applications Understanding AI techniques enhancing LLMs Experience in prompt engineering for LLM outputs Developing scalable data storage solutions using cloud services Designing and managing data warehouses and data lakes Implementing IAM roles and policies for cloud 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: $148,000 - $317,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. 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

Job Description: Sr Staff Engineer - Finance Data Specialist GEICO is seeking experienced Finance Data specialists to provide expertise and guidance in supporting the build out of a Finance data lake/warehouse. This individual must have the ability to provide coaching to business teams and technologists by guiding, planning, and partnering at various levels. This specialist will partner with the engineering teams in the establishment of a new Finance Data Warehouse. This role requires strong functional and technical Finance Systems background to partner with the Business and have effective discussions driving the capture, transformation, and utilization of Finance data to meet Business goals. The Senior Staff Engineer, Finance Data Specialist will report to the Senior Manager of Finance Data & Analytics and will provide solutions on how to build out, maintain, and support a Finance Data Warehouse/Lake to support FP&A processing and analytics while also supporting the larger Finance organization's need for Finance data. This role will work with multiple Finance and Technology leaders to set the strategy for building out the company's Finance Data Warehouse/Lake to provide a central repository for all Financial related transactions so it can be a reconciled source of truth for processing and the source for Revenue and Expense analytics. The individual in this role will be a key advisor and partner to the Finance Leadership to redesign the way they use their technologies in managing GEICO's business. The Finance Data Specialist is also accountable to support the delivery of technology solutions that will support FP&A Planning/Budgeting, financial reporting, Revenue/Expense Analytics, and the build out of the Finance Data Warehouse to become a reconciled source to allow the GL to become a "thin" ledger. The ideal candidate has deep Finance Systems experience across multiple companies to support deploying best practices, leveraging their broad and deep knowledge of various ERPs (e.g. Oracle; Workday; SAP or PeopleSoft). Prior Financial Systems experience is required, with a deep understanding of the functional and technical aspects of ERP and Data Warehouse systems. Position Responsibilities As a Senior Staff Engineer, Finance Data Specialist supporting Finance Systems you will: Leverage your deep Functional and Technical systems expertise to drive towards the right solution to support the department and GEICO's current and future needs Engage in cross-functional collaboration throughout the entire software lifecycle Lead design sessions with peers to ensure systems are well designed, efficient, and meet Business expectations Collaborate with Finance Leaders within the FP&A, Controllers, Financial Reporting, and Finance QA & Systems team along with the Data Engineering and Finance Technology leaders to ensure organizational goals are met Have a deep understanding of Finance functions to support the establishment of a vision and technology roadmap to build out a Finance Data Lake/Warehouse Have a good understanding of finance data lake/mart with Data processing/data transformation using ETL/ELT tools such as Informatica, DBT, etc. Experience with designing, developing, implementing, and maintaining solutions for data ingestion and transformation projects Experience working with cloud data solutions (Delta Lake, Iceberg, Hudi, Snowflake, Redshift or equivalent) Support the development of a roadmap and then work towards implementing Revenue and Expense Analytical solutions Work with Business Sponsors to develop project roadmaps which align to business objectives and sequenced by priority and resource availability Support and influence customers and stakeholders, and work through divergent expectations Support the implementation of a strong control and governance framework and maintain it for SOX and Audit reviews Support Business and Technology discussions at various leadership levels to ensure alignment towards long term goals of Finance and Technology Analyze and translate business and functional specifications and change requests into technical specifications Consistently share best practices and improve processes within and across teams Qualifications 20+ years of Finance Systems experience with industry leading ERP solutions (e.g. implementing and supporting PeopleSoft; Oracle EBS; Oracle Cloud; Workday; or SAP) 5+ years of experience in implementing and supporting FP&A applications (Preferred) 5+ years working with or supporting a Finance Data Lake/Warehouse/Mart along with various Financial Reporting tools Solid understanding of Dimensional Data Modeling Strong working knowledge of Data processing/data transformation using ETL/ELT tools such as Informatica, DBT, etc. Strong working knowledge of SQL and the ability to write, debug and optimize SQL queries and ETL jobs 5+ years as a lead or architect supporting Financials via the major vendors (e.g. PeopleSoft; Oracle EBS; Oracle Cloud; Workday; or SAP) Deep Finance domain expertise to be able to work with senior Finance leaders to interpret their process and functional needs into system solutions Strong understanding of FP&A Budgeting, Planning, and Reforecasting processes Experience in implementing or supporting Revenue or Expense analytical solutions via tools such as Power BI, Tableau, etc. Strong understanding of Accounting process and reporting expectations to partner with senior Finance Leaders Ability to communicate and work directly with leaders across Technology and Finance Sound understanding of project management techniques, methodologies, and best practices Strong problem-solving abilities Ability to excel in a fast-paced environment Knowledge and experience with the software development life cycle Ability to work independently and in a team-oriented collaborative environment Education Bachelor's degree in Computer Science, Information Systems, Engineering, Business Administration, or equivalent education or work experience Annual Salary $115,000.00 - $260,000.00 The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate's work experience, education and training, the work location as well as market and business considerations. At this time, GEICO will not sponsor a new applicant for employment authorization for this position. The GEICO Pledge: Great Company: At GEICO, we help our customers through life's twists and turns. Our mission is to protect people when they need it most and we're constantly evolving to stay ahead of their needs. We're an iconic brand that thrives on innovation, exceeding our customers' expectations and enabling our collective success. From day one, you'll take on exciting challenges that help you grow and collaborate with dynamic teams who want to make a positive impact on people's lives. Great Careers: We offer a career where you can learn, grow, and thrive through personalized development programs, created with your career - and your potential - in mind. You'll have access to industry leading training, certification assistance, career mentorship and coaching with supportive leaders at all levels. Great Culture: We foster an inclusive culture of shared success, rooted in integrity, a bias for action and a winning mindset. Grounded by our core values, we have an an established culture of caring, inclusion, and belonging, that values different perspectives. Our teams are led by dynamic, multi-faceted teams led by supportive leaders, driven by performance excellence and unified under a shared purpose. As part of our culture, we also offer employee engagement and recognition programs that reward the positive impact our work makes on the lives of our customers. Great Rewards: We offer compensation and benefits built to enhance your physical well-being, mental and emotional health and financial future. Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family's overall well-being. Financial benefits including market-competitive compensation; a 401K savings plan vested from day one that offers a 6% match; performance and recognition-based incentives; and tuition assistance. Access to additional benefits like mental healthcare as well as fertility and adoption assistance. Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year. The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled. GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.

Industry/Sector HI X-Sector Specialism Data, Analytics & AI Management Level Manager Job Description & Summary At PwC, our people in data management focus on organising and maintaining data to enable accuracy and accessibility for effective decision-making. These individuals handle data governance, quality control, and data integration to support business operations. In data strategy at PwC, you will focus on developing and implementing strategic plans to effectively manage and utilise data within the organisation. You will analyse business requirements, identify data needs, and define data governance frameworks. Your work will involve collaborating with stakeholders to align data initiatives with organisational goals, supporting the use of data to drive informed decision-making and support business growth. Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member's unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Analyse and identify the linkages and interactions between the component parts of an entire system. Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion. Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables. Develop skills outside your comfort zone, and encourage others to do the same. Effectively mentor others. Use the review of work as an opportunity to deepen the expertise of team members. Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate. 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. The Opportunity As part of the Data Management team you will lead the development and execution of cloud analytics strategies for healthcare providers. As a Manager, you will supervise and mentor teams, delivering quality outputs while fostering meaningful client relationships and navigating complex challenges. Responsibilities Oversee and mentor team members to promote the delivery of exceptional outputs Drive team performance through impactful coaching and development Maintain adherence to project timelines and quality standards Analyze data management processes to pinpoint areas for enhancement Foster a collaborative environment that encourages innovation and problem-solving Utilize technology to enhance service delivery and operational effectiveness What You Must Have Bachelor's Degree 5 years of experience What Sets You Apart Proven experience in healthcare provider environments Demonstrating subject matter knowledge in cloud transformations Designing and deploying cloud analytics architecture Understanding of major cloud platforms like AWS and GCP Developing data pipelines for cloud platforms Proficiency in SQL and ETL processes Experience managing large cloud analytics programs Demonstrating critical thinking and problem-solving skills Big 4 consulting experience preferred 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: $99,000 - $232,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. 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

About Grocery Outlet: Our Mission: Touching lives for the better Our Vision: Touching lives by being the first choice for bargain-minded consumers in the U.S. Our Values & Behaviors: Achievement, Diversity, Entrepreneurship, Family, Fun, Integrity & Service About the Team: Our Planning team's mission is to constantly push the status quo to deliver the best service to our buying team and store operators. Our team is highly intelligent and engaged with the business- allowing us to operate in a fast-paced environment and form cross-functional partnerships. Successful members of our team maximize profitability and productivity within their department and motivate their team and cross functional partners with their energy. About the Role: The Inventory Data Specialist reports to the Data & Process Manager on the Inventory Planning team. The Inventory Data Specialist's role is to support the quality and integrity of Grocery Outlet's product data through regular data monitoring, maintenance activities, and collaboration with the team to identify process improvement across the business. Responsibilities Include: Build a cross-functional understanding of the business, specifically as it relates to end-to-end product lifecycle. Will be responsible for reviewing error logs, tickets, dashboards, and item datasets (e.g., purchase orders, on-hand inventory, UPCs) to ensure a high level of accuracy and completeness, identifying and resolving any gaps to maintain strong data integrity in a timely manner. Train others in the business (buyers, assistants, etc.) on how to comply with new data quality standards in their roles. Participate in cross-functional data quality initiatives, including data cleansing, enrichment, and standardization efforts. Contribute to the development of data quality standards and SOPs to support long-term governance. Recommend process enhancements based on recurring data issues and opportunities identified through analysis and business user feedback. Ad hoc tasks and analysis as needed to support the business. About The Pay: Base Salary Range: $70,000 Annually 401(k) Profit Sharing Medical, Dental, Vision & More! Final compensation will be determined based upon experience and skills and may vary based on location. About You: Bachelor's Degree in related field (Information Systems, Business Analytics, etc.) or at least one year of relevant experience Intermediate Excel Skills (VLOOKUP, Formulas, Conditional Formatting, Pivot Tables, etc.) Excellent analytical and problem-solving skills Strong communication and interpersonal skills Ability to work collaboratively in a cross-functional team environment Ability to effectively prioritize work and complete urgent tasks in a timely manner Curiosity to understand how data impacts the customer experience and business operations Experience in retail at any level is a plus Experience with SAP HANA or similar ERP is a plus To learn about how we collect, use and secure your personal information. Click here to see our privacy policy.

About the Team OpenAI's User Operations team is building world-class automation and knowledge systems that will reduce friction for users, provide industry-leading support, and serve as a proving ground for OpenAI's next-generation technology. About the Role As an early member of our User Operations Data Science team, you will help build a data-driven culture around hypothesis testing, insight generation, and strategy. You should expect to work on a wide range of projects like defining north-star metrics, designing experiments, estimating incrementality, and creating predictive models. You will partner with our automation engineering team and our data engineering team to develop the data infrastructure for these knowledge systems. Most importantly, you should expect to be a core member of the Business data science team, helping to bring our technology to a wide range of customers and supporting our self-serve and sales-led motions. This role is based in San Francisco, CA or New York, NY. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Design and deploy predictive models to forecast support demand, proactively identify user friction, and drive data-informed decision-making. Collaborate with engineering to refine autonomous agents, providing insights on training data, agent performance, and rapid iteration loops. Provide key product insights for PMs and engineering teams, shaping priorities and guiding enterprise-grade user support strategies. Mentor other data scientists, establishing standards for data quality, experimentation, and ethical AI use. Manage cross-functional data science projects about revenue, marketing, pricing, usage, and other topics core to the business. Establish a data-driven culture by driving the definition, tracking, and operationalizing of metrics Become an expert in OpenAI's data and systems with ability to self-serve all the underlying data for our business and derive insights from them by partnering with data engineering, finance and other business teams. Develop and socialize dashboards, reports, and other ways of enabling the team and company to answer product data questions in a self-serve way Partner with other data scientists across the company to share knowledge and continually synthesize learnings across the organization You might thrive in this role if you have: At least 10+ years of experience in Data Science roles within dynamic, outcome-driven organizations. Expertise in statistics and causal inference, applied in both experimentation and observational causal inference studies. Expertise in quantitative programming languages, such as Python and R. Expertise in SQL, with extensive experience extracting large datasets and designing ETL workflows. Experience developing and extracting insights from business intelligence tools, such as Mode, Tableau, and Looker. Strategic and impact-driven mindset, capable of translating complex business problems into actionable frameworks. Strong communication skills, including the ability to bridge technical and non-technical stakeholders and collaborate across various functions to ensure business impact. Ability to craft clear data stories using decks, memos, and dashboards to drive decision-making at every level. Best-in-class attention to detail and unwavering commitment to accuracy. . About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI's Affirmative Action and Equal Employment Opportunity Policy Statement. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

Description The Role: Data Scientist Location: BOS/NYC Rue Gilt Groupe is looking for a Data Scientist to join our industry-leading Data Science and Machine Learning Team. In this role, you will work with our seasoned data scientists and engineers to build innovative AI solutions that power our profitable, off-price, luxury e-commerce business with three uniquely established brands: Rue La La, Gilt, and ShopSimon. We inspire confidence and spark delight in over 50M customers, and we are evolving our machine learning models and data science platform to unlock significant opportunities for continued growth and success. Come help us build the next generation of our products! Responsibilities: Work on challenging AI/ML projects like NLP, computer vision, recommender systems, advanced statistical prediction models, and other AI technologies to drive revenue and enhance the personalized shopping experiences of our 50M members Develop innovative solutions to business problems leveraging both classic and cutting-edge AI/ML algorithms/frameworks Build end-to-end large-scale batch and real-time data pipelines and scalable architectures and services to efficiently handle large amounts of data Work with a state-of-the-art data technology stack (Spark, Tensorflow, Pytorch, Snowflake, Airflow, AWS Ecosystem) that operates in the cloud to empower predictive modeling services for both internal and external customers Productionize scalable and distributed data science solutions in cloud-based ecosystems and be responsible for day-to-day production support You will be involved in the design and implementation of applications and tools based on AI (including GenAI) that will revolutionize the way our software interacts with users while maintaining a responsible approach to the use of these technologies Identify opportunities for data science to increase the organization's efficiency and lift our core business Collaborate with a wide range of business stakeholders and departments ranging from Marketing, Merchandising, and Planning to Executive Leadership Work in multi-functional agile teams to experiment continuously, iterate, and deliver on data-driven product objectives Work closely with fellow engineers from other teams to design and develop cross-team data exchange microservices, effectively communicating your needs and understanding theirs About You: At Rue Gilt Groupe, diversity enriches our passion, collaboration, kindness, and innovation. We're committed to fostering an inclusive environment where every Associate is empowered to learn, grow, and bring their full self to work. Even if you don't check off every qualification in the job description, that's okay. We encourage you to apply to any role that excites you and sparks delight! We can't wait to learn more about you. PhD in Computer Science, Data Science, Engineering, or a related field with 1+ years of industry experience or a Masters degree in Computer Science, Data Science, Engineering, or a related field with 3+ years of industry experience Proficiency with Deep Learning frameworks such as TensorFlow, Keras, and PyTorch. Experience in Reinforcement Learning and Bandit frameworks. Strong knowledge of Spark or similar big data platforms and technologies. Demonstrated experience working in an agile environment, delivering iteratively and efficiently. Expertise in machine learning, feature engineering, and software development. Proven experience with statistical modeling and large-scale data analytics. Skilled in writing clean, efficient code in Python and SQL. Experience working with structured and unstructured data and table design. In-depth understanding of system design, data structures, and algorithms. Experience with workflow orchestration tools, such as Apache Airflow. Familiarity with production-grade Large Language Models (LLMs) and Generative AI. Familiarity with building scalable microservices for high-volume data delivery on AWS or similar platforms. Excellent interpersonal and communication skills, with the ability to collaborate effectively in a team environment, accept feedback, and foster a collaborative spirit. Result-driven approach to executing AI/ML solutions to drive business growth. Expected Base Salary Range: $100,000 - $130,000 About the Data Science and AI Team: The Data Science and AI Team gives you the freedom to use the latest cutting-edge techniques and technologies in their experimentation to move the data science and personalization efforts forward with the goal of increasing the magic of our 50M members' online shopping experience and our annual revenues. We are uniquely positioned in the sense that the team is responsible for both creating data science solutions and productionizing the solutions in a scalable cloud environment, which removes the barrier between the science and engineering that we typically see in the industry. ABOUT US: Rue Gilt Groupe is a leading off-price e-commerce portfolio company, connecting the next-generation shopper to world-class brands. We've defined the online treasure hunt through our daily sale events, allowing a large, loyal member base to discover over 5,000 premium and luxury brands at prices up to 70% off full-price retail. Rue Gilt Groupe operates three complementary sites- Rue La La, Gilt, and Shop Premium Outlets. Our vision at RGG is to spark delight through daily discovery - we make shopping an occasion to celebrate. At the forefront of fashion and technology, we're also in the business of sparking delight for our Associates. We inspire each other, our Members, and ourselves to push past the expected - every day. Our culture is rooted in our values, and together we work to demonstrate being Kind, Passionate, Collaborative, Innovative, Tenacious, and Empowered. ABOUT US: Rue Gilt Groupe is a leading off-price e-commerce portfolio company, connecting the next-generation shopper to world-class brands. We've defined the online treasure hunt through our daily sale events allowing a large, loyal member base to discover over 5,000 premium and luxury brands at prices up to 70% off full-price retail. Rue Gilt Groupe operates three complementary sites- Rue La La, Gilt, and ShopSimon. Our vision at RGG is to spark delight through daily discovery - we make shopping an occasion to celebrate. At the forefront of fashion and technology, we're also in the business of sparking delight for our Associates. We inspire each other, our Members, and ourselves to push past the expected - every day. Our culture is rooted in our values and together we work to demonstrate being Kind, Passionate, Collaborative, Innovative, Tenacious and Empowered.

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Director Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Translating the vision, you set the tone, and inspire others to follow. Your role is crucial in driving business growth, shaping the direction of client engagements, and mentoring the next generation of leaders. You are expected to be a guardian of PwC's reputation, understanding that quality, integrity, inclusion and a commercial mindset are all foundational to our success. You create a healthy working environment while maximising client satisfaction. You cultivate the potential in others and actively team across the PwC Network, understanding tradeoffs, and leveraging our collective strength. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Lead in line with our values and brand. Develop new ideas, solutions, and structures; drive thought leadership. Solve problems by exploring multiple angles and using creativity, encouraging others to do the same. Balance long-term, short-term, detail-oriented, and big picture thinking. Make strategic choices and drive change by addressing system-level enablers. Promote technological advances, creating an environment where people and technology thrive together. Identify gaps in the market and convert opportunities to success for the Firm. Adhere to and enforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance) the Firm's code of conduct, and independence requirements. As part of the Data and Analytics Engineering team you lead the design and implementation of thorough data architecture strategies. As a Director, you drive thought leadership, promote technological advances, and create an environment where people and technology thrive together. This role involves collaborating with business stakeholders to translate data requirements into technical solutions and safeguarding data architecture compliance with governance and security policies. Responsibilities Lead the creation and execution of data architecture strategies Drive innovation and thought leadership in data solutions Collaborate with stakeholders to align technical solutions with business needs Maintain compliance with data governance and security protocols Promote an environment where technology and people excel together Translate complex data requirements into actionable technical plans Oversee the implementation of advanced data technologies Facilitate cross-functional collaboration to enhance data architecture What You Must Have Bachelor's Degree 10 years of experience What Sets You Apart Certification in Cloud Platforms [e.g., AWS Certified Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Certified: Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus Proficient in Python and structured/unstructured data Proficient in SQL and relational databases Writing and maintaining FastAPI endpoints for applications Understanding AI techniques enhancing LLMs Experience in prompt engineering for LLM outputs Developing scalable data storage solutions using cloud services Designing and managing data warehouses and data lakes Implementing IAM roles and policies for cloud 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: $148,000 - $317,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. 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

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Director Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Translating the vision, you set the tone, and inspire others to follow. Your role is crucial in driving business growth, shaping the direction of client engagements, and mentoring the next generation of leaders. You are expected to be a guardian of PwC's reputation, understanding that quality, integrity, inclusion and a commercial mindset are all foundational to our success. You create a healthy working environment while maximising client satisfaction. You cultivate the potential in others and actively team across the PwC Network, understanding tradeoffs, and leveraging our collective strength. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Lead in line with our values and brand. Develop new ideas, solutions, and structures; drive thought leadership. Solve problems by exploring multiple angles and using creativity, encouraging others to do the same. Balance long-term, short-term, detail-oriented, and big picture thinking. Make strategic choices and drive change by addressing system-level enablers. Promote technological advances, creating an environment where people and technology thrive together. Identify gaps in the market and convert opportunities to success for the Firm. Adhere to and enforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance) the Firm's code of conduct, and independence requirements. As part of the Data and Analytics Engineering team you are expected to develop and implement data-driven strategies to drive business growth and enhance decision-making. As a Director you are responsible for setting the strategic direction and leading business development efforts, making impactful decisions and overseeing multiple projects while maintaining executive-level client relations. This role involves defining data management and governance strategies, collaborating on transformation projects, and leveraging modern cloud data architectures to align data initiatives with organizational goals. Responsibilities Develop and implement data-driven strategies to enhance business growth Set strategic direction for data initiatives and lead business development Oversee multiple projects while maintaining executive-level client relations Define data management and governance strategies Collaborate on transformation projects to align with organizational goals Leverage modern cloud data architectures for enhanced data alignment Drive impactful decision-making processes Foster an environment where people and technology thrive together What You Must Have Bachelor's Degree 10 years of experience What Sets You Apart Azure Data Fundamentals or Azure Data Engineering certifications preferred Developing data-driven strategies for business growth Defining data management and governance strategy Conducting regular data/analytics strategy refresh Collaborating on strategy and transformation projects Understanding modern cloud data architectures Implementing cloud data architecture and integration patterns Applying knowledge in Big Data engineering and ETL/ELT Designing advanced analytics solutions and AI/ML models 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: $148,000 - $317,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. 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

Founded in 2017, Obsidian Security was created to close a critical gap: securing the SaaS applications where modern business happens-platforms like Microsoft 365, Salesforce, and hundreds more. Backed by top investors including Greylock, Norwest Venture Partners, and IVP, we've built a complete SaaS security platform to reduce risk, detect and respond to threats, and prevent breaches at the source. Our team includes leaders who helped define the categories of endpoint and identity security at CrowdStrike, Okta, Cylance, and Carbon Black. Now, we're transforming how SaaS is secured-in the era of agentic AI. Today, Obsidian is trusted by global enterprises like Snowflake, T-Mobile, and Pure Storage. We protect more than 200 organizations across North America, Europe, the Middle East, Southeast Asia, Australia, and New Zealand-including many of the world's largest Fortune 1000 and Global 2000 companies. With strong global momentum, a growing partner ecosystem including SentinelOne, Databricks, and Google Cloud, and a major fundraise on the horizon, we're scaling quickly toward long-term growth and IPO readiness. Join us as we define the future of SaaS security! Software Engineer - Data The Software Engineer role provides a unique opportunity to work across engineering, data science, and security research functions of our growing business. You will be part of a highly visible, agile team working on critical areas that directly affect the company's success. The role: Obsidian is seeking a detail-oriented Software Engineer to build out high-quality data products. The ideal candidate will: Have a blend of engineering and data analysis acumen. Bring a high level of curiosity to wildly heterogeneous, semi-structured data. Rapidly learn and apply cybersecurity concepts. What You'll Do: Participate in the engineering life cycle at Obsidian, with the primary responsibility of building data abstractions and data transformations that are at the core of our product. You will write high-quality production code. Develop and maintain flexible batch and real-time analytical pipelines that feed ML-based threat detection models. What's in it for you: Work for an innovative startup, working on data products that solve hard problems. Our founders have a successful industry track record of innovation and product delivery. You will be a key member of our engineering and data teams, working alongside people with vast experience in both industry and academia. You will tackle a wide array of critical data analytics powering the product. You will gain exposure to and expertise in various data engineering and cloud technologies. Required skills/experience: You are an analytically inclined engineer who loves solving complex problems using data. You possess strong algorithmic skills. Have demonstrated experience working with data processing systems. Extensive experience with Python and SQL is required. Experience with dbt, Spark, or DuckDB is a strong plus. BS/MS Computer Science or a highly quantitative discipline. 1-2 years of industry experience building high-quality data products is a must. This is a hybrid position at Obsidian's Newport Beach, CA, office. Employee Benefits Our competitive benefits packages are designed to support our employees' well-being, both at work and at home. Our US based employees enjoy: Competitive compensation with equity and 401k Comprehensive healthcare with dental and vision coverage Flexible paid time off and paid holiday time off 12 weeks of new parent or family leave Personal and professional development resources For more details on our US benefits, or for information on our international benefits, please see here. Pay Transparancy Please note that the base pay range is a guideline and for candidates who receive an offer, the base pay will vary based on factors such as work location, as well as the knowledge, skills and experience of the candidate. In addition to a competitive base salary, this position is eligible for equity awards and may be eligible for incentive compensation based on factors such as experience, skills, and location. At Obsidian, we are proud to be an equal-opportunity employer. We value diversity and hire for talent, passion, and compassion. In compliance with federal law, all persons hired will be required to submit satisfactory proof of identity and legal authorization. If you have a need that requires accommodation, please contact accommodations@obsidiansecurity.com Information collected and processed as part of any job applications you choose to submit is subject to Obsidian's Applicant Privacy Policy. Base Salary Range $120,000-$162,000 USD

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: $84,000 - $202,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. 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

Job Description Infosys is seeking a Data Engineer- Pyspark Developer. In this role, you will enable digital transformation for our clients in a global delivery model, research on technologies independently, recommend appropriate solutions and contribute to technology-specific best practices and standards. You will be responsible to interface with key stakeholders and apply your technical proficiency across different stages of the Software Development Life Cycle. You will be part of a learning culture, where teamwork and collaboration are encouraged, excellence is rewarded, and diversity is respected and valued. Required Qualifications: Candidate must be located within commuting distance of Minneapolis, MN or be willing to relocate to the area. This position may require travel in the US. Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education. All applicants authorized to work in the United States are encouraged to apply. At least 4 years of Information Technology experience At least 3 years experience in PySpark. At least 3 years of experience in Hadoop, Spark and Hive. Experience in ETL Development. Preferred Qualifications: Good understanding of data integration, data quality and data architecture. Good general knowledge in end-to-end implementation of data warehouse and data marts. Experience in Relational Modeling, Dimensional Modeling and Modeling of Unstructured Data. Experience in Banking domain. Strong communication and Analytical skills. Ability to work in teams in a diverse, multi-stakeholder environment comprising of Business and Technology teams. Experience and desire to work in a global delivery environment. The job entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone, email or face to face. Travel may be required as per the job requirements.