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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 Senior Associate Job Description & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn't clear, you ask questions, and you use these moments as opportunities to grow. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Respond effectively to the diverse perspectives, needs, and feelings of others. Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems. Use critical thinking to break down complex concepts. Understand the broader objectives of your project or role and how your work fits into the overall strategy. Develop a deeper understanding of the business context and how it is changing. Use reflection to develop self awareness, enhance strengths and address development areas. Interpret data to inform insights and recommendations. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. Minimum Degree Required Bachelor's Degree Minimum Year(s) of Experience 4 year(s) Demonstrates thorough-level abilities and/or a proven record of success managing the identification and addressing of client needs: Building of GenAI and AI solutions, including but not limited to analytical model development and implementation, prompt engineering, general all-purpose programming (e.g., Python), testing, communication of results, front end and back-end integration, and iterative development with clients Documenting and analyzing business processes for AI and Generative AI opportunities, including gathering of requirements, creation of initial hypotheses, and development of GenAI and AI solution approach Collaborating with client team to understand their business problem and select the appropriate analytical models and approaches for AI and GenAI use cases Designing and solutioning AI/GenAI architectures for clients, specifically for plugin-based solutions (i.e., ChatClient application with plugins) and custom AI/GenAI application builds Processing unstructured and structured data to be consumed as context for LLMs, including but not limited to embedding of large text corpus, generative development of SQL queries, building connectors to structured databases Support management of daily operations of a global data and analytics team on client engagements, review developed models, provide feedback and assist in analysis; Directing data engineers and other data scientists to deliver efficient solutions to meet client requirements; Leading and contributing to development of proof of concepts, pilots, and production use cases for clients while working in cross-functional teams; Structuring, write, communicate and facilitate client presentations; and, Directing associates through coaching, providing feedback, and guiding work performance. Demonstrates thorough abilities and/or a proven record of success learning and performing in functional and technical capacities, including the following areas: Managing AI/GenAI application development teams including back-end and front-end integrations Using Python (e.g., Pandas, NLTK, Scikit-learn, Keras etc.), common LLM development frameworks (e.g., Langchain, Semantic Kernel), Relational storage (SQL), Non-relational storage (NoSQL); Experience in analytical techniques such as Machine Learning, Deep Learning and Optimization Vectorization and embedding, prompt engineering, RAG (retrieval, augmented, generation) workflow dev Understanding or hands on experience with Azure, AWS, and / or Google Cloud platforms Experience with Git Version Control, Unit/Integration/End-to-End Testing, CI/CD, release management, etc. Travel Requirements Up to 80% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $77,000 - $202,000, 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

Our not-so-secret sauce. Award-winning, inclusive, Top Workplace culture doesn't happen overnight. It's a result of hard work by extraordinary people. More than 11,000 of the industry's brightest talent drive our efforts to deliver purposeful work and meaningful impact every day. Learn more about what makes us different and how you can thrive as a Senior Data Architect at Marsh McLennan Agency (MMA). MMA provides business insurance, employee health & benefits, retirement, and private client insurance solutions to organizations and individuals seeking limitless possibilities. With 200 offices across North America, we combine the personalized service model of a local consultant with the global resources of the world's leading professional services firm, Marsh McLennan (NYSE: MMC). A day in the life. As a Senior Data Architect on the Data team, you'll establish consistent data standards, reference architectures, patterns, and practices across the organization for both OLTP and OLAP (Data warehouse, Data Lake house) MDM and AI/ML technologies. You will define reference data architecture and work with agile teams to ensure the documented best practices are used in data platform development. Additionally, you'll create strategies and design solutions for a wide variety of use cases like Data Migration (end-to-end ETL process), database optimization, and data architectural solutions for Analytics Data Projects. You will also design, develop, and troubleshoot highly complex technical problems in OLAP/OLTP/DW, Analytics, and provide solutions for Enterprise-level Applications utilizing Azure Data Platform. Our future colleague. We'd love to meet you if your professional track record includes these skills: 10+ or more years of experience in Information Technology. 5 to 10 years of experience in Enterprise data architecture, Data, Modelling, Data management and Data strategy 5 to 7 years of experience in Cloud database technologies. 7 to 10 years of experience as a data architect Solid understanding of databases and the strengths and weaknesses of platforms and products, with the ability to provide a trusted voice at the decision-making table Expertise in creating ER (Entity Relationship), Logical, Physical, and Conceptual data models for an enterprise Experience in data modeling, streaming skills, and data architecture for operational and analytical datastores Proficiency in the design of batch and streaming data ingestion Knowledge in designing solutions with Data Quality, Data Lineage, and Data Catalogs Experience with solving performance challenges for a variety of velocities, latencies, and volumes of data Designing and maintaining the data models, including conceptual, logical, and physical data models Experience with SOA data layer utilizing data access frameworks and exposing data via web services Experience with Business Intelligence and data mart architecture Experience creating a data architecture vision between lines of business and IT Demonstrated competency in communicating the value of data architecture to stakeholders and senior management Experience in SDLC processes, database patterns, and development frameworks Strong interpersonal, verbal, and written communication skills, with the ability to develop and conduct executive-level presentations Experience crafting solutions that leverage data in NoSQL and SQL datastores for high availability and disaster tolerance Preferred experience with Kubernetes, Cloud Native ecosystem, and Data Lake/Data Warehouse technologies Deep expertise in Data engineering capabilities involving architecture, modeling (physical and logical), data governance, storage, security, resilience, and replication Knowledge of Informatica - IICS task flows development and maintenance Experience with MongoDB or another NoSQL database, PostgreSQL, or any relational database Experience with Azure, Data Lake, Databricks, SQL, ETL, and MDM Experience with data integration services such as Azure Data Factory Experience with business intelligence tools; Power BI or Qlik is preferred Experience in designing and building large-scale, enterprise systems in a highly available, scalable, performant, and distributed environment These additional qualifications are a plus, but not required to apply: Knowledge of Agency Management systems like Applied EPIC and Vertafore Sagitta, Benefit Point Microsoft Azure Data Engineer or other cloud certifications Data bricks experience and certification We know there are excellent candidates who might not check all of these boxes. Don't be shy. If you're close, we'd be very interested in meeting you. Valuable benefits. We value and respect the impact our colleagues make every day both inside and outside our organization. We've built a culture that promotes colleague well-being through robust benefit programs and resources, encourages professional and personal development, and celebrates opportunities to pursue the projects and causes that give colleagues fulfillment outside of work. Some benefits included in this role are: Generous time off, including personal and volunteering Tuition reimbursement and professional development opportunities Remote work Charitable contribution match programs Stock purchase opportunities To learn more about a career at MMA, check us out online: http://marshmma.com/careers or flip through our recruiting brochure: https://bit.ly/3Qpcjmw Follow us on social media to meet our colleagues and see what makes us tick: https://www.instagram.com/lifeatmma/ https://www.facebook.com/LifeatMMA https://www.linkedin.com/company/marsh-mclennan-agency/ Who you are is who we are. We embrace a culture that celebrates and promotes the many backgrounds, heritages, and perspectives of our colleagues and clients. We are always seeking those with ethics, talent, and ambition who are interested in joining our client-focused teams. Marsh McLennan and its affiliates are EOE Minority/Female/Disability/Vet/Sexual Orientation/Gender Identity employers. #LI-Remote The applicable base salary range for this role is $113,000 to $197,800. The base pay offered will be determined on factors such as experience, skills, training, location, certifications, education, and any applicable minimum wage requirements. Decisions will be determined on a case-by-case basis. In addition to the base salary, this position may be eligible for performance-based incentives. We are excited to offer a competitive total rewards package which includes health and welfare benefits, tuition assistance, 401K savings and other retirement programs as well as employee assistance programs. Applications will be accepted until: August 25, 2025

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

At U.S. Bank, we're on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions, enabling the communities we support to grow and succeed in the right ways, all more confidently and more often-that's what we call the courage to thrive. We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive. Try new things, learn new skills and discover what you excel at-all from Day One. As a wholly owned subsidiary of U.S. Bank, Elavon is committed to building the platforms and ecosystems that help over 1.5 million customers around the world to achieve their financial goals-no matter what they need. From transaction processing to customer service, to driving innovation and launching new products, we're building a range of tailored payment solutions powered by the latest technology. As part of our team, you can explore what motivates and energizes your career goals: partnering with our customers, our communities, and each other. Job Description We are seeking a seasoned and strategic Product Analytics Manager with 14+ years of experience to lead our product analytics vision and execution. This is a high-impact leadership role focused on building a strong analytics foundation-ensuring data is accurately captured, translated into meaningful insights, and used to drive smarter product decisions and business growth. Good understanding of customer and product journey's related insights. You'll work closely with product, engineering, and executive stakeholders to align on measurement strategy, surface actionable insights, and directly influence product roadmaps and customer experience improvements. Key Responsibilities: Strategic Analytics Leadership Define and drive the product analytics strategy aligned with long-term product and business objectives. Serve as a trusted advisor to product and executive leadership, enabling data-informed decisions. Data Instrumentation Lead cross-functional efforts to implement and maintain scalable, reliable event tracking across digital products. Establish taxonomy, event design, and governance best practices across teams. Insights & Product Impact Translate behavioral and performance data into clear, actionable insights that inform product priorities and design decisions. Identify user patterns, feature adoption trends, and friction points to optimize engagement and retention. Experimentation & Optimization Monitor post-launch performance and continuously refine measurement strategies. Reporting & Visualization Create dashboards and executive-level reports that distill complex data into clear, strategic narratives. Present key insights to cross-functional stakeholders and executive teams. Cross-Functional Partnership Collaborate with product managers, designers, engineers, and growth teams to embed data into everyday decision-making. Mentor team members and help cultivate a data-driven product culture. Highly Preferred Qualifications: 14+ years of experience in product analytics, data strategy, or digital product leadership roles. MBA from a reputed business school, with focus on product, analytics, or strategic decision-making. Technical schooling from a top-tier university (e.g., Data Engineering & Science, preferably Master ). Advanced SQL proficiency and hands-on experience with analytics tools such as Power BI Demonstrated success leading instrumentation, defining KPIs, and generating insights that influence product direction. Deep understanding of product engagement metrics, funnel analysis, retention cohorts, and user journey optimization. Experience influencing C-level stakeholders and leading cross-functional alignment through data. Prior success in high-growth, product-centric environments. What You'll Gain: A leadership role at the intersection of data, product, and strategy. Influence over product evolution, customer engagement, and business outcomes. The opportunity to define and scale a world-class product analytics foundation. Basic Qualifications Master's degree in data and technology management, or equivalent work experience Ten or more years of experience in data management and business intelligence in the financial services industry If there's anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to our disability accommodations for applicants. Benefits: Our approach to benefits and total rewards considers our team members' whole selves and what may be needed to thrive in and outside work. That's why our benefits are designed to help you and your family boost your health, protect your financial security and give you peace of mind. Our benefits include the following (some may vary based on role, location or hours): Healthcare (medical, dental, vision) Basic term and optional term life insurance Short-term and long-term disability Pregnancy disability and parental leave 401(k) and employer-funded retirement plan Paid vacation (from two to five weeks depending on salary grade and tenure) Up to 11 paid holiday opportunities Adoption assistance Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law U.S. Bank is an equal opportunity employer. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, and other factors protected under applicable law. E-Verify U.S. Bank participates in the U.S. Department of Homeland Security E-Verify program in all facilities located in the United States and certain U.S. territories. The E-Verify program is an Internet-based employment eligibility verification system operated by the U.S. Citizenship and Immigration Services. Learn more about the E-Verify program. The salary range reflects figures based on the primary location, which is listed first. The actual range for the role may differ based on the location of the role. In addition to salary, U.S. Bank offers a comprehensive benefits package, including incentive and recognition programs, equity stock purchase 401(k) contribution and pension (all benefits are subject to eligibility requirements). Pay Range: $139,230.00 - $163,800.00 U.S. Bank will consider qualified applicants with arrest or conviction records for employment. U.S. Bank conducts background checks consistent with applicable local laws, including the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act as well as the San Francisco Fair Chance Ordinance. U.S. Bank is subject to, and conducts background checks consistent with the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA). In addition, certain positions may also be subject to the requirements of FINRA, NMLS registration, Reg Z, Reg G, OFAC, the NFA, the FCPA, the Bank Secrecy Act, the SAFE Act, and/or federal guidelines applicable to an agreement, such as those related to ethics, safety, or operational procedures. Applicants must be able to comply with U.S. Bank policies and procedures including the Code of Ethics and Business Conduct and related workplace conduct and safety policies. Posting may be closed earlier due to high volume of applicants.

Job Description: We are seeking a highly skilled and visionary Director of Data Platforms and Architecture to lead the design, development, and governance of our enterprise-wide Snacking data platform ecosystem. This individual will be responsible for driving platform strategy, fostering innovation, and ensuring robust data architecture that empower multiple products and capabilities to power business decisions, scalability, and operational excellence. As a strategic leader, the Director of Data Platforms and Architecture will oversee the implementation and optimization of cutting-edge data technologies & solutions, establish best practices in data platforms and governance, and provide technical leadership to multidisciplinary teams. You will work closely with stakeholders across business, IT, and analytics teams to align data architecture with organizational goals, enabling seamless data acquisition and advanced analytics capabilities. What will be your key responsibilities? Strategic Leadership: Develop and drive the long-term vision for enterprise data platforms and architecture, ensuring alignment with organizational goals and priorities. Collaborate with C-level executives and business leaders to identify opportunities for leveraging data as a strategic asset. Data Platform Oversight: Oversee the design, implementation, and maintenance of modern data platforms, including cloud-native solutions, data lakes, data warehouses, and real-time processing systems. Ensure scalability, reliability, and high availability of the data ecosystem to support growing business needs. Architecture Design: Define and implement enterprise data architecture standards, including data modeling, integration, and API frameworks. Optimize workflows and pipelines to ensure efficient and secure data ingestion, processing, storage, and access. Foster a data-driven culture by ensuring architecture supports self-service analytics and business intelligence tools. Data Governance & Security: Establish and enforce robust data governance practices, ensuring compliance with regulatory requirements and company policies. Partner with IT security teams to implement secure-by-design data architectures that protect sensitive information and mitigate risks. Team Management: Lead and mentor a team of data architects, platform engineers, and data governance professionals. Foster a culture of innovation, collaboration, and continuous learning within the team. Emerging Technologies: Stay abreast of emerging technologies, tools, and industry trends in data platforms, AI/ML, and big data. Proactively evaluate and recommend new technologies that enhance data capabilities and drive business innovation. Cross-Functional Collaboration: Partner with IT, analytics, and business teams to identify data needs and translate them into actionable platform solutions. Advocate for data democratization by enabling access to clean, high-quality data for decision-making. What are we looking for? Bachelor's or Master's degree in Computer Science, Information Systems, Data Engineering, or a related field. 10+ years of experience in data engineering, architecture, or platform management roles, with 5+ years in leadership positions. Expertise in modern data platforms (e.g., Azure, AWS, Google Cloud) and big data technologies (e.g., Spark, Kafka, Hadoop). Strong knowledge of data governance frameworks, regulatory compliance (e.g., GDPR, CCPA), and data security best practices. Proven experience in enterprise-level architecture design and implementation. Hands-on knowledge of database systems (SQL/NoSQL), ETL/ELT processes, and data modeling techniques. Exceptional leadership, communication, and stakeholder management skills. Ability to work in fast-paced, agile environments and balance long-term strategy with short-term execution. Preferred Qualifications: Certifications in cloud platforms (AWS Certified Data Analytics, Azure Data Engineer, etc.). Experience with AI/ML technologies and data science platforms. Familiarity with DevOps, CI/CD pipelines, and Infrastructure as Code (IaC). What can you expect from Mars? Work with diverse and talented Associates, all guided by the Five Principles. Join a purpose driven company, where we're striving to build the world we want tomorrow, today. Best-in-class learning and development support from day one, including access to our in-house Mars University. An industry competitive salary and benefits package, including company bonus. The base pay range for this position at commencement of employment is expected to be between the range listed below, however, base pay offered may vary depending on multiple individualized factors, including but not limited to, market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements, if eligible, including variable pay, medical and dental benefits, participation in 401k plan, and paid time off benefits. Eligibility for these additional elements depend on the position offered and the employee's work schedule (i.e., part-time schedule, store associate). Details of participation in these benefit plans will be provided if an applicant receives an offer of employment. $190,608 - $230,000 + 20% bonus #TBDDT

Our Company Oaktree is a leader among global investment managers specializing in alternative investments, with about $200 billion in assets under management. The firm emphasizes an opportunistic, value-oriented and risk-controlled approach to investments in credit, private equity, real assets and listed equities. The firm has over 1200 employees and offices in 24 cities worldwide. We are committed to cultivating an environment that is collaborative, curious, inclusive and honors diversity of thought. Providing training and career development opportunities and emphasizing strong support for our local communities through philanthropic initiatives are essential to our culture. For additional information please visit our website at www.oaktreecapital.com Responsibilities As a Senior Data Architect at Oaktree, you will be a key contributor to the design, development, and implementation of our data architecture, ensuring alignment with Oaktree's strategic objectives. You will provide technical leadership and subject matter expertise on data architecture best practices, collaborating closely with stakeholders across various teams. Responsibilities include: Present technology architecture and solution overviews to executive-level audiences. Conduct assessments and define enterprise roadmaps for enabling a data-driven Analytics organization. Provide thought leadership around modern analytics tools and platforms for mid-sized companies to Fortune 500s. Participate in the development of Database Architecture and Roadmaps in support of business strategies. Develop DW Standards for Enterprise including Database, ETL and Reporting Standards to be used in development projects on DW Platform. Data Modeling (Logical, Physical), translating business processes and requirements to data pipelines and flows. Data Catalog and data dictionary construction. Technical Responsibilities: Design and implement scalable and secure data models using Azure SQL Database, Azure Data Lake Storage, and Azure Syponse. Finding and using the right technology for the right purpose. Develop and maintain data architecture blueprints, ensuring alignment with business requirements and industry best practices. Collaborate with data engineers to design efficient data pipelines, leveraging Azure Data Factory for data ingestion, transformation, and movement. Evaluate and recommend appropriate Azure data storage solutions based on data characteristics, performance requirements, and cost considerations. Contribute to the development and enforcement of data governance policies, including data quality standards, metadata management, and data security protocols within the Azure environment. Stay informed about emerging technologies and trends in data architecture, evaluating their potential impact and applicability to Oaktree's data strategy. Qualifications Bachelor's degree in Computer Science, Finance, or other relevant discipline. 10+ years of experience in data and analytics space and 8+ years of experience in job specific work. Knowledge of the asset management industry and asset classes to bridge business and technology for data solutions. Strong understanding of key data concepts (e.g., Portfolio Construction, Security/Account Reference data, AUM, Investment Results/Attribution, Index/Benchmark). Experience with industry data (e.g., Bloomberg, FactSet, Morningstar, ESG, Index, alternative data). Hands-on experience with data warehouse, data lake, and cloud solutions, collaborating with data engineering teams. Personal Attributes Relationship Building; works effectively with strong, diverse teams of people with multiple perspectives, talents, and backgrounds. He or she is known for doing what is best irrespective of politics and is comfortable with consensus building (at multiple levels) and soliciting constructive feedback; ability to elicit cooperation from a wide variety of participants including upper management, clients, other departments, and 3rd party providers. Communication; strong interpersonal and verbal/written communication skills; ability to present complex material. Independence & Collaboration; experience at working both independently and in a team-oriented, collaborative environment; must be able to drive work effectively with limited supervision (at times) while representing department and executive management interests and concerns. Work Ethic; focus on continual development, performance, accountability, and self-motivation. Flexibility & Organization; adapt to shifting priorities, demands and timelines through analytical and problem-solving capabilities; proven ability to multi-task and efficiently manage time across competing activities/resources; able to effectively prioritize, execute tasks, and thrive in a high-pressure fast paced environment. Intellectual Curiosity; energized by learning new things and engaging across a wide range of issues; must have strong problem solving skills; understand the importance of attention to detail, adept at conducting research into project-related issues and products; displays a technical aptitude that lends itself to learning and mastering new technologies. Driving Results; sets aggressive timelines and objectives to drive results, conveys a sense of urgency, and drives issues to closure; is a self-starter committed to achieving results and has a strong sense of ownership and follow-through. Judgment; makes recommendations and decisions that balance a variety of factors. Education Bachelor's degree in Computer Science, Finance, or other relevant discipline. Base Salary Range $160,000 - $200,000 In addition to a competitive base salary, you will be eligible to receive discretionary bonus incentives, a comprehensive benefits package and a flexible work arrangement. The base salary offered will be commensurate with experience and/or qualifications, industry knowledge and expertise, as well as prior training and education. Equal Opportunity Employment Policy Oaktree is committed to diversity and to equal opportunity employment. Oaktree does not make employment decisions on the basis of race, creed, color, ethnicity, national origin, citizenship, religion, sex, sexual orientation, gender identity, gender expression, age, past or present physical or mental disability, HIV status, medical condition as defined by state law (genetic characteristics or cancer), pregnancy, childbirth and related medical conditions, veteran status, military service, marital status, familial status, genetic information, domestic violence victim status or any other classification protected by applicable federal, state and local laws and ordinances. This policy applies to hiring, placement, internal promotions, training, opportunities for advancement, recruitment advertising, transfers, demotions, layoffs, terminations, recruitment advertising, rates of pay and other forms of compensation and all other terms, conditions and privileges of employment. This policy applies to all Oaktree applicants, employees, clients, and contractors. Staff members wishing to report violations or suspected violations of this policy should contact the head of their department or Human Resources. For positions based in Los Angeles For those applying for a position in the city of Los Angeles, the firm will consider for employment qualified applicants with a criminal history in a manner consistent with applicable federal, state and local law.

We're always looking for diverse, talented, service-oriented people to join our exceptional team. Statistical Data Analyst II The pay range for this position is listed below. Our pay ranges are built to allow for candidates with various levels of skill and experience to be considered, as well as for room for growth and tenure achieved in a role over time. Typical new hire salary offers fall within the minimum to midpoint of a pay range for many candidates. Any offer extended to a candidate will be based upon their unique set of knowledge, skills, education, and experience as well as internal equity. Pay Range: $86,917.00 - $130,376.00 Scheduled Weekly Hours: 40 What You'll Be Doing Responsible for the development, maintenance, and execution of existing and new statistical models in SAS or comparable system, recommending revisions and improvements to statistical models, developing new models, conducting and documenting detailed analysis, and reporting various findings to management as required for stress testing purposes. Evaluate, design, develop, and maintain statistical and predictive models to identify historical trends and forecast future performance of credit losses, loan originations, pre provision net revenue and other related measures using SAS or comparable system, based upon projections of macroeconomic variables from the Federal Reserve and internally developed business assumptions as required by NCUA for capital planning, stress testing, and CECL requirements. Develop methods to analyze both existing and new models, including determining appropriate methodologies based on model type, challenging assumptions, evaluating performance and robustness effectively, writing comprehensive validation documents, and presenting findings to senior management. Identify standards that can be applied in assessment of all aspects of stress test models including theoretical aspects, model design and implementation, data integrity, and reliability. Perform advanced assessments to assess how models perform in comparison of identified standards for the models, thoroughly documenting results of your review. Apply maturing knowledge of industry best practices of statistical models and methodologies. Stay current with emerging requirements, both regulatory and others, and manage corresponding changes in models, systems, and processes. Create and present effective materials to management based on findings, showcasing professional displays of information. Develop and apply advanced statistical techniques to analyze data, forecast, interpret, and quantify trends on various aspects of information. Responsible for sophisticated analysis and development of implications and recommendations for existing processes, as well as building these out for new processes. Ensure the accuracy and reliability of data used in the model building process by performing established data checks and validations. Ensure data check process is robust and implement changes where necessary. Responsible for gathering and organizing data, ensuring data accuracy, and developing ways to address concerns. Develop modeling-focused reports, presentations, and written narratives for inclusion into the Credit Union's annual Capital Plan. Establish and maintain strong relationships with various business units and key functional stakeholders to develop business-related assumptions based upon different economic scenarios and to identify new opportunities for statistical analysis applications to evaluate Additional Job Functions Performs other duties as assigned Complies with regulatory compliance and assigned training requirements including but not limited to BSA regulations corresponding to their specific job duties. Failure to do so may result in disciplinary and other employment related actions Qualifications Bachelor's Degree or equivalent years of experience required Master's Degree preferred 3-5 years of previous related experience required 3-5 years of experience within a financial services company. Knowledge, Skills, and Abilities Thorough understanding of and ability to recommend and implement new statistical methods, probability theory, data cleaning/imputation, and advanced statistical and quantitative analysis required, as is a working knowledge of credit loss, originations, and PPNR modeling at a financial institution. Proficiency in Microsoft Office Suite (Excel, Word, PowerPoint). Working knowledge of SAS is required, as is intermediate proficiency in a coding based statistical language such as SAS, R, Python, Matlab, etc. Strong analytical and problem-solving skills as well as effective communication skills, both written and verbal. Proficient data cleaning, statistical analysis, and statistical coding skills. SchoolsFirst FCU is committed to Diverse, Equitable, and Inclusive Hiring At SchoolsFirst FCU we are dedicated to building and growing a diverse, inclusive, and authentic Dream Team, so if you're excited about a position or wanting to make a career change but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. Many skills are transferrable and you may be just the right candidate for the position, or for other roles we are working on. SchoolsFirst Federal Credit Union is committed to fostering, cultivating, and preserving a culture of diversity and inclusion. SchoolsFirst FCU is an equal opportunity employer and prohibits discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities and prohibits discrimination against all individuals based on their race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, political affiliation, or genetic information. This organization participates in E-Verify.

About the Position: The Facilities Supervisor is responsible for the operations of the Datacenter infrastructure components including but not limited to Mechanical Systems; Chillers, CRAC, CRAH, pumps, condensers and Electrical Systems; UPS, Generators, ATS, batteries and DC plants. What you do daily: Manage all aspects of the Mechanical and Electrical operations within the Datacenters Manage and track cooling capacity, temperatures and efficiency throughout the Datacenters Manage and track electrical capacity, UPS loads, customer consumption and breaker availability Maintain 13.2mW-34.5mW Transformers and UPS systems (Mitsubishi, Toshiba, Emerson, APC) Maintain detailed site specification documentation of As-Builts, Single-Lines and pre-sales spec sheets Plan physical environment installs including capacity expansions, system upgrades, and new CRAC, In-Row cooling, UPS, distribution panels, etc. Responsible to lead the troubleshooting process and repairs in case of events or equipment failure. Make recommendations to prevent reoccurrence of such events. Ability to cover 24 x 7 support escalations/ DC incidents management and service calls for timely recovery. Optimize cooling and electrical distribution for optimal PUE Review and approve all facilities maintenance tasks/MOPS when required as part of change management system Oversee and monitor all facilities record keeping Works with internal customers and 3rd party service providers on installation of new hardware and replacement of faulty hardware. Liaison with all AC/DC users, vendors & counterparts within the company for onsite infrastructure & service related issues and process. Maintain accurate site documentation such as maintenance records, power consumption, temperature trends, PUE trends, etc Ensure that best practices are adhered to in areas of cooling and electrical documentation Participate in pre-sales engineering of Customer solutions Participate in facilities post incident reviews as required Participate in regular facilities audits What makes you a good fit: (Qualifications) Minimum 5 years' experience in managing mission critical facilities Experience with cooling subsystems such as Chillers, CRAC, CRAH, etc. Understanding of IT systems including but not limited to servers, network systems, fiber and copper cabling Experience in large, complex construction projects Ability to read and comprehend single line diagrams Excellent written and verbal communication skills Comfort in working in a fast paced 24*7 environment

Industry/Sector Insurance Specialism Data, Analytics & AI Management Level Manager 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 Manager, 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: Develop new skills outside of comfort zone. Act to resolve issues which prevent the team working effectively. Coach others, recognise their strengths, and encourage them to take ownership of their personal development. Analyse complex ideas or proposals and build a range of meaningful recommendations. Use multiple sources of information including broader stakeholder views to develop solutions and recommendations. Address sub-standard work or work that does not meet firm's/client's expectations. Use data and insights to inform conclusions and support decision-making. Develop a point of view on key global trends, and how they impact clients. Manage a variety of viewpoints to build consensus and create positive outcomes for all parties. Simplify complex messages, highlighting and summarising key points. 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: 7 year(s) Preferred Qualifications: Certification(s) Preferred: Certification in one of the following cloud platforms- AWS/Azure/GCP/Snowflake Preferred Knowledge/Skills: Demonstrates extensive abilities and/or success in one or more of the following areas: Possessing understanding and experience with modern cloud data architectures and engineering for one or more of the following cloud providers- AWS, Azure, GCP; Being highly organized; Proven track record of implementing cloud data architecture and data integration patterns (AWS Glue, Azure Data Factory, Event Hub, Databricks, etc.), storage and processing (Redshift, Azure Synapse, BigQuery, Snowflake); Infrastructure as code (CloudFormation, Terraform); Possessing extensive knowledge of Data Warehousing concepts (normalization, OLAP, OLTP, Vault data model, graphs, star & snowflake schemas); Possessing 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 Insurance data warehouse; Possessing proven knowledge in SQL, report generation using visualization tools such as Tableau/Power BI/Cognos, programming using Python/Spark; Improving advanced analytics solutions, AI/ML models, and operationalizing based on ML Ops process; Having end-to-end knowledge of implementing enterprise data solutions such as Master Data Management, Data Governance and Enterprise Data Warehouse; Architecting and driving delivery of high availability, scalable, process and storage intensive solutions architectures to data integration/migration, analytics and insights, AI and ML; Understanding and familiarity of one or more is a big plus- CI/CD, cloud devops, containers (Kubernetes/Docker, etc.); and, Possessing P&C Insurance industry experience, including proven understanding of insurance data, underlying KPIs and how they are used. Demonstrates extensive 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; Managing and streamlining data warehouse team and lead in creation of cloud data warehouse plans, roadmap, success metrics, and assessment of client's enterprise (on-premise and on-cloud) data systems; 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; Coordinating and providing guidance to technology teams and architects to define and develop technology solutions; Demonstrating critical thinking and problem-solving methods and skills; Supervising teams to create an atmosphere of trust; Seeking diverse views to encourage improvement and innovation; Coaching staff including timely meaningful written and verbal feedback; Building, maintaining and utilizing networks of client relationships and community involvement; Using appropriate facilitation techniques to gain agreement or move others to action; Managing resource requirements, project workflow, budgets, billing and collections; and, Preparing and/or coordinating complex written and verbal materials. 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

Company: Marsh McLennan Agency Description: Our not-so-secret sauce. Award-winning, inclusive, Top Workplace culture doesn't happen overnight. It's a result of hard work by extraordinary people. The industry's brightest talent drive our efforts to deliver purposeful work and meaningful impact every day. Learn more about what makes us different and how you can make your mark as the Enterprise Data Leader at MMA. Marsh McLennan Agency (MMA) provides business insurance, employee health & benefits, retirement, and private client insurance solutions to organizations and individuals seeking limitless possibilities. With offices across North America, we combine the personalized service model of a local consultant with the global resources of the world's leading professional services firm, Marsh McLennan (NYSE: MMC). A day in the life. The Enterprise Data Leader will oversee MMA's data strategy, ensuring data governance, quality, and accessibility to support business decision-making. This role will lead initiatives for data integration and management across the enterprise, including a strong focus on enhancing the integration of acquisition data. Working with business strategy leadership, this role will be at the forefront of the MMA data platform, responsible for overseeing the collection, management, and analysis of data across MMA. In addition this leader will support global MMC initiatives to bridge and unify data when applicable to MMA. This role will establish best practices for data governance and ensure that our data initiatives align with business objectives, driving insights and informed decision-making throughout the organization. The Enterprise Data Leader will collaborate closely with cross-functional teams, including IT and operations, to identify data needs and translate them into actionable strategies. Guiding the team through the entire data lifecycle, from data acquisition and cleaning to analysis and reporting. In addition to mentoring and empowering the team, this leader will champion a culture of data-driven decision-making and continuous improvement across the organization. Staying abreast of emerging technologies and industry trends, they will evaluate new tools and methodologies to enhance our data capabilities and drive operational efficiency. Key Responsibilities: Data Platform Leadership: Own the design, implementation, and management of enterprise data platforms, including data lakes, data warehouses, and data integration tools. Partner with infrastructure and security teams to ensure scalable, resilient, and secure environments. Data Architecture and Engineering: Define and evolve data architecture standards and patterns for ingestion, transformation, and delivery. Oversee the development and support of robust data pipelines to ensure high-quality, timely data access. Responsible for aligning data architecture with enterprise architecture and business goals to ensure that data systems are integrated effectively, including strategy around new acquisition data integration. Governance & Quality: Operationalize data governance across domains, driving metadata management, lineage, stewardship, and quality frameworks. Collaborate with legal, compliance, and security teams to ensure all data meets regulatory and privacy standards. Team Leadership & Organizational Development: Lead and grow a team of data architects, engineers, and governance professionals. Create a high-performing, collaborative, and accountable team culture aligned with enterprise goals. Business Partnership & Enablement: Partner with analytics, operations, and functional leaders to deliver reliable data services that meet strategic and operational goals. Act as a key advisor to the enterprise data strategy group, shaping priorities, investments, and adoption paths. Operational Oversight: Ensure efficient operations, capacity planning, and incident response within the data services domain. Establish SLAs, KPIs, and reporting to measure data team performance and platform value. Emerging Technologies Evaluation: Stay informed about emerging data technologies and industry trends, evaluating their potential impact on the enterprise data environment and recommending adoption where appropriate. Our future colleague. We'd love to meet you if your professional track record includes these skills: Enterprise Data Architecture: Extensive experience in designing and implementing enterprise data architectures that support data integration and analytics initiatives. Data Governance Expertise: In-depth knowledge of data governance frameworks, data quality standards, and best practices in data management to ensure compliance and integrity. Analytical Tools Proficiency: Familiarity with data analytics tools and programming languages (e.g., SQL, Python, R), as well as data visualization tools (e.g., Tableau, Power BI) to effectively communicate insights. Modern Data Technologies: Proficiency in modern data storage technologies (e.g., SQL, NoSQL) and experience with cloud data platforms (e.g., AWS, Azure) to leverage scalable data solutions. Data Standards and Security: Experience in establishing and enforcing data standards, security protocols, and performance benchmarks to protect organizational data assets. MMA IT Leadership Core Requirements: Business Acumen: Strong understanding of business operations and strategy, with the ability to align technology decisions with business goals and drive value for the organization. Cross-Functional Leadership Experience: Proven ability to lead cross-functional teams and initiatives, fostering collaboration among IT, business units, and other stakeholders to achieve common goal. Strong Communication Skills: Excellent verbal and written communication skills, with the ability to convey complex architectural concepts to both technical and non-technical stakeholders effectively. Problem-Solving Skills: Strong problem-solving skills, with a track record of identifying and resolving complex technical challenges. Leadership and Mentorship: Demonstrated leadership skills, with experience mentoring and developing team members and proven track record of growing leaders. Financial and Operational Management: Proven ability to manage team budgets, ensuring financial resources are utilized effectively to meet key metrics, project and departmental goals. Enterprise Transformation: Demonstrated experience in leading large-scale enterprise transformation initiatives, including successful implementation of new technologies and processes. Change Management: Proven experience in leading change management efforts related to technology, people, process and digital enablement ensuring stakeholder buy-in. Agile Transformation Leadership: Experience in leading Agile transformation initiatives within IT teams, fostering a culture of collaboration, flexibility, and responsiveness to changing business needs. Continuous Improvement Focus: A commitment to fostering a culture of continuous improvement, leveraging feedback and lessons learned to enhance processes and practices. Regulatory Compliance Experience: Familiarity with industry-specific regulatory or business control requirements (e.g., SOC, NYDFS, ITGC, HIPAA) and experience in ensuring that enterprise technology solutions comply with these requirements. Culture and Engagement: Experience working in diverse, global teams, with an understanding of cultural differences and the ability to foster an inclusive, authentic environment that values diverse perspectives and builds a community of colleague engagement and satisfaction. We know there are excellent candidates who might not check all of these boxes. Don't be shy. If you're close, we'd be very interested in meeting you. Valuable benefits. We value and respect the impact our colleagues make every day both inside and outside of work. Our culture promotes colleague well-being through robust benefits programs and resources, professional and personal development opportunities, and fulfillment through meaningful work. Some benefits included in this role are: Generous time off, including personal and volunteering Tuition reimbursement and professional development opportunities Remote work Charitable contribution match programs Stock purchase opportunities To learn more about a career at MMA, check us out our website or flip through recruiting brochure. Follow us on social media to meet our colleagues and see what makes us tick: Instagram Facebook X LinkedIn Who you are is who we are. We embrace a culture that celebrates and promotes the many backgrounds, heritages and perspectives of our colleagues and clients. We are always seeking those with ethics, talent, and ambition who are interested in joining our client-focused teams. Marsh McLennan and its affiliates are EOE Minority/Female/Disability/Vet/Sexual Orientation/Gender Identity employers. #LI-REMOTE The applicable base salary range for this role is $119,500 to $209,200. The base pay offered will be determined on factors such as experience, skills, training, location, certifications, education, and any applicable minimum wage requirements. Decisions will be determined on a case-by-case basis. In addition to the base salary, this position may be eligible for performance-based incentives. We are excited to offer a competitive total rewards package which includes health and welfare benefits, tuition assistance, 401K savings and other retirement programs as well as employee assistance programs. Applications will be accepted until: August 29, 2025

As a member of the Information Systems Department, the Senior Enterprise Applications and Data Architect is responsible for assessing, developing, and maintaining architecture components within the application portfolio while monitoring and governing its associated data within the environment. ESSENTIAL FUNCTIONS: Assist in the road mapping of the application and data portfolio and develop transition plans for moving from the current to future solutions within the environment. Plans, directs, and coordinates the standardization of data between various on premise and cloud platforms. Identify workflow process inefficiencies and implement changes to improve the productivity, efficiency, and/or cost-effectiveness of products or services. Review application architecture and data integration options and make recommendations to IS management for possible implementation with on premise or cloud hosted solutions. Serve as the Project Manager on new enterprise-wide applications or updates to existing applications, as assigned. Create project plans, track budgets, monitor deadlines, and project team performance. May serve as a project member on projects run by other team members or manager. Lead the testing of new software or new versions of software. Create and maintain test environments for each of the enterprise-wide applications, including server specifications and software installations, integrations, and customizations. Create and maintain testing scripts for all enterprise-wide applications; manage testing teams and procedures and analyze test results. Create and maintain production environments for enterprise-wide applications, including server and desktop specifications, client software packaging, server software installations, integrations, and customizations; submit Change Management forms for approval per IS procedure; schedule work with vendors; perform installations or upgrades, final testing and close monitoring after installation or upgrade. Resolve and respond to Help Desk tickets related to enterprise-wide applications, plus all other applications as needed; note trends; perform troubleshooting; perform problem management, including escalating to other teams and to vendors as needed. Keep current on patches and releases related to enterprise-wide applications; review release notes; track resolutions to existing software problems; recommend updates to install. Interface with vendors, industry peers, and professional associations to keep informed of existing and evolving industry standards and technologies. ADDITIONAL FUNCTIONS: Maintain a high level of knowledge in all enterprise-wide applications via release notes, documentation, vendor dialogue and training classes. Assist, teach and mentor Applications Analysts, Administrators, and Engineers on the team. Other related job duties, as assigned. QUALIFICATIONS (EXPERIENCE, KNOWLEDGE, SKILLS AND ABILITIES): Education: Bachelor's degree in computer science preferred. Experience: Minimum of ten years of extensive experience managing enterprise-wide applications and, preferably in a law firm. At least five years of related work experience with cloud data analytics platforms technologies. (Azure, AWS, Snowflake, etc.) Knowledge, Skills, & Abilities: Solid project management skills, operating as part of a team organizing, planning, and executing small to large-scale projects from the envisioning stage through implementation. Demonstrate a knowledge and understanding of enterprise system integrations, such as: Multi-cloud integrations Data movement (ETL/ELT) Data architecture (Snowflake, MS Fabric) Data Preparation (Azure Data Factory) Data Consumption and Visualization (PowerBI) Infrastructure, server, operating systems, and network communications knowledge. Process-minded with a strict regard to details. Strong ability to install and maintain any enterprise-wide application, including servers, customizations and integrations, load balancing, disaster recover procedures. Knowledge of SQL server and SQL scripting. Extensive Knowledge of various Microsoft technologies including Azure AD, Azure AD Application Proxy, Power Bi, OneDrive, and Azure Virtual Desktop remote app streaming. Certification in Microsoft 365 Enterprise preferred. WORK ENVIRONMENT & PHYSICAL DEMANDS: This job operates in a clerical, office setting. This role routinely uses standard office equipment such as computers, phones, photocopiers, filing cabinets and fax machines. PHYSICAL REQUIREMENTS Sedentary work: Exertion of physical strength to lift, carry, push, pull, or otherwise move objects up to 10 pounds. Work involves sitting most of the time. Walking and standing is often necessary in carrying out job duties. VISUAL ACUITY Worker is required to have close visual acuity to perform an activity such as: preparing and analyzing data and figures; transcribing; viewing a computer terminal; extensive reading. COMPENSATION & BENEFITS The salary range for this position applies to Atlantic City, Chicago, Denver, Las Vegas, Los Angeles, Minneapolis, Morristown, New York, Princeton, San Francisco, Seattle, and Washington, D.C. The salary range reflects a variety of factors that are considered in making compensation decisions, including but not limited to experience, education, licensure and/or certifications, geographic location, market demands and other business and organizational needs. It is not typical for an individual to be hired at or near the top of the range for a position. A reasonable estimate of the current range for this position is $140,000 to $175,000. For information on Fox Rothschild's compensation and benefits visit: Compensation & Benefits (foxrothschild.com) DISCLAIMER The above is intended to describe the general content of and requirements for the performance of this job. It is not a contract or employment agreement and is not to be construed as an exhaustive statement of all functions, responsibilities, or requirements the employee may be required to perform, and the employee may be required to perform additional duties. Additionally, management reserves the right to review and revise the job description at any time. Employment with the firm is at-will. Employees must be able to satisfactorily perform all of the essential functions of the position with or without a reasonable accommodation. If an accommodation request would cause an undue hardship or a safety concern, the individual may not be eligible for the position.

Who are we? Equinix is the world's digital infrastructure company, operating over 260 data centers across the globe. Digital leaders harness Equinix's trusted platform to bring together and interconnect foundational infrastructure at software speed. Equinix enables organizations to access all the right places, partners and possibilities to scale with agility, speed the launch of digital services, deliver world-class experiences and multiply their value, while supporting their sustainability goals. Our culture is based on collaboration and the growth and development of our teams. We hire hardworking people who thrive on solving challenging problems and give them opportunities to hone new skills and try new approaches, as we grow our product portfolio with new software and network architecture solutions. We embrace diversity in thought and contribution and are committed to providing an equitable work environment that is foundational to our core values as a company and is vital to our success. Role Summary The Head of Digital for Global Operations is a strategic and outcome-focused Product and Engineering executive responsible for leading the vision, strategy, and delivery of end-to-end digital platform and solutions to support the data center operations function across all three regions. This is the organization responsible for building and operating our world-class data centers across all three regions. With Equinix investing heavily in physical infrastructure, this role is central to maximizing the productivity of that team and creating a world-class experience for our engineers and customers with digital twins of our entire data center estate, automation of the full lifecycle of design, build, operate and optimized with end-to-end accountability for delivering modern, efficient, secure, and scalable platforms that enable operational excellence, infrastructure resilience, sustainability, and cost-effectiveness across our global footprint. The opportunity to delight our customers is immense in this area Responsibilities Strategic Leadership Strategic partner to Global Operations organization, spanning Field Operations, Global Design and Construction, Energy (Power) and Operations Excellence, to define and execute a product and platform strategy that supports infrastructure modernization, performance optimization and global expansion Translate infrastructure goals-such as uptime, energy efficiency, automation, and lifecycle management-into a product roadmap that enables scale, visibility, and operational control Ensure alignment with enterprise-wide architecture, cybersecurity, sustainability, and cloud strategies Product Ownership and Execution Own the full product lifecycle for all digital solutions enabling infrastructure operations-including data center management platforms, asset tracking, monitoring and telemetry systems, capacity planning tools, and automation frameworks Build and lead a high-performing product team to drive innovation, agile delivery, and measurable outcomes Prioritize features and investments based on business value, ROI, and stakeholder input, ensuring transparency and alignment Stakeholder Engagement and Change Leadership Serve as the digital thought partner and liaison between operations function leaders and the Digital & Innovation team Understand user needs across business units, functions, and geographies to ensure digital products drive measurable improvements in service delivery and operational effectiveness Lead change management and user adoption strategies to ensure successful implementation and business value realization Innovation and Continuous Improvement Identify opportunities for automation, intelligent workflows, predictive analytics, and self-service capabilities to simplify processes and enhance decision-making Foster innovation in areas such as workforce planning, financial forecasting, compliance tracking, and operational service delivery Keep pace with emerging enterprise technologies and regulatory trends to ensure platforms remain compliant, modern, and resilient People Leadership Build, coach and expand the customer enablement digital team to support the business' success Qualifications Essential skills, knowledge and experience Strong intellect, ideally with a bachelor's degree in information technology, Business Administration, or a related field. An MBA or advanced is highly advantageous 15+ years of experience in product management, digital transformation or technology leadership with at least 5 years in a senior technology leadership role Deep understanding of global infrastructure operations, data center environments, and related operational systems and tools Proven experience delivering digital solutions for mission-critical environments with high demands on uptime, security, and compliance Familiarity with infrastructure management platforms, DCIM (Data Center Infrastructure Management (DCIM), Configuration Management Database (CMDB), automation tools, and real-time telemetry systems Skills and Attributes Strategic thinker with a customer-centric mindset and a passion for innovation. Demonstrated ability to collaborate and partner effectively with executive stakeholders, especially in complex, matrixed organizations. Excellent problem-solving ability to understand business stakeholder needs, drive prioritization, and deliver systems Adept at inspiring behavior change through motivating teams, planning initiatives, designating priorities, and being decisive when faced with ambiguity Ability to provide thought leadership, think strategically and effectively communicate vision and influence across the organization Ability to be data driven, decisive, execution-focused and results-oriented to ensure strategy translates to outcomes Leadership characteristics Product / engineering mindset with passion and experience in major transformations at a global scale across cultures, in a matrix driven org. Leads with a global mindset, across cultures, in a highly matrixed, relationship and consensus-driven environment Cultivates Innovation - Creates new and better ways for the organization to be successful. Fosters a climate where innovation can thrive. Encourages innovative risk taking and embraces failure as a part of innovation The United States targeted pay range for this position in the following location is / locations are: California (Bay Area): $276,000 to $414,000 per year California (Non-SF/Bay Area), Connecticut, Maryland, New York, New Jersey, Washington state: $274,000 to $410,000 per year Colorado, Nevada, Rhode Island: $260,000 to $390,000 per year Our pay ranges reflect the minimum and maximum target for new hire pay for the full-time position determined by role, level, and location. Individual pay is based on additional factors including job-related skills, experience, and relevant education and/or training. This position may be offered in other locations. Your recruiter can share more about the specific pay range for your preferred location during the hiring process. The targeted pay range listed reflects the base pay only and does not include bonus, equity, or benefits. Employees are eligible for bonus, and equity may be offered depending on the position. As an employee, you become important to Equinix's success. Details about our company benefits can be found at the following link: USA Benefits eBook Equinix is committed to ensuring that our employment process is open to all individuals, including those with a disability. If you are a qualified candidate and need assistance or an accommodation, please let us know by completing this form. Equinix is an Equal Employment Opportunity and, in the U.S., an Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to unlawful consideration of race, color, religion, creed, national or ethnic origin, ancestry, place of birth, citizenship, sex, pregnancy / childbirth or related medical conditions, sexual orientation, gender identity or expression, marital or domestic partnership status, age, veteran or military status, physical or mental disability, medical condition, genetic information, political / organizational affiliation, status as a victim or family member of a victim of crime or abuse, or any other status protected by applicable law.

Who We Are Verily is a subsidiary of Alphabet that is using a data-driven approach to change the way people manage their health and the way healthcare is delivered. Launched from Google X in 2015, our purpose is to bring the promise of precision health to everyone, every day. We are focused on generating and activating data from a variety of sources, including clinical, social, behavioral and the real world, to arrive at the best solutions for a person based on a comprehensive view of the evidence. Our unique expertise and capabilities in technology, data science and healthcare enable the entire healthcare ecosystem to drive better health outcomes. Description As a Data Scientist at Verily, you will be supporting our core mission to drive innovation in evidence generation for research and care decisions. We are building new types of longitudinal datasets that have foundations of RWD sources, such as EHRs (electronic health records) and claims data, and are augmented with prospective data collection. You will develop and deploy models that enable scalable curation of RWD. This will include multi-source integrations and reconciliations, creating derived features from the source data (e.g., abstraction of clinical concepts from unstructured data), and facilitating data quality assessments. You will work with a diverse cross-functional team to build reusable and scalable tools and to deliver products that unlock information from structured and unstructured clinical data. Responsibilities Work closely with cross-functional partners to design and create longitudinal datasets integrating multiple data sources. Build and implement highly accurate machine learning models / AI tools using sparsely labeled healthcare datasets. Implement, build on and augment existing LLM/NLP tools to maximize the value of using unstructured medical data across a range of research and care applications. Become an expert in our data's capabilities and limitations. Solve difficult, non-routine analysis problems, handling data challenges from a real-world setting. Qualifications Minimum qualifications Advanced degree in a quantitative discipline (e.g., data sciences, statistics, biomedical informatics, computer science, applied mathematics, or similar), or equivalent practical experience. 2+ years experience applying advanced machine learning and AI techniques (supervised and unsupervised methods, LLMs, NLP) to clinical data. Direct experience working with and curating real-world data, such as EHR, including a deep understanding of the complexities of this structured and unstructured clinical data. Strong proficiency in Python. Preferred qualifications Familiarity with medical terminologies and ontologies. Familiarity with software engineering practices and experience developing production software. Experience working with clinical subject matter experts. Ability to work cross-functionally on teams, with a tolerance for ambiguity. Creative and methodical problem solving: understand needs, identify options, form hypotheses, generate robust results, make informed decisions, and learn faster through feedback. This role is eligible for Verily-sponsored immigration support. The US base salary range for this full-time position is $119,000 - $169,000 + bonus + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits.

Industry/Sector Insurance Specialism Data, Analytics & AI Management Level Manager 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 Manager, 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: Develop new skills outside of comfort zone. Act to resolve issues which prevent the team working effectively. Coach others, recognise their strengths, and encourage them to take ownership of their personal development. Analyse complex ideas or proposals and build a range of meaningful recommendations. Use multiple sources of information including broader stakeholder views to develop solutions and recommendations. Address sub-standard work or work that does not meet firm's/client's expectations. Use data and insights to inform conclusions and support decision-making. Develop a point of view on key global trends, and how they impact clients. Manage a variety of viewpoints to build consensus and create positive outcomes for all parties. Simplify complex messages, highlighting and summarising key points. 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: 7 year(s) Preferred Qualifications: Certification(s) Preferred: Certification in one of the following cloud platforms- AWS/Azure/GCP/Snowflake Preferred Knowledge/Skills: Demonstrates extensive abilities and/or success in one or more of the following areas: Possessing understanding and experience with modern cloud data architectures and engineering for one or more of the following cloud providers- AWS, Azure, GCP; Being highly organized; Proven track record of implementing cloud data architecture and data integration patterns (AWS Glue, Azure Data Factory, Event Hub, Databricks, etc.), storage and processing (Redshift, Azure Synapse, BigQuery, Snowflake); Infrastructure as code (CloudFormation, Terraform); Possessing extensive knowledge of Data Warehousing concepts (normalization, OLAP, OLTP, Vault data model, graphs, star & snowflake schemas); Possessing 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 Insurance data warehouse; Possessing proven knowledge in SQL, report generation using visualization tools such as Tableau/Power BI/Cognos, programming using Python/Spark; Improving advanced analytics solutions, AI/ML models, and operationalizing based on ML Ops process; Having end-to-end knowledge of implementing enterprise data solutions such as Master Data Management, Data Governance and Enterprise Data Warehouse; Architecting and driving delivery of high availability, scalable, process and storage intensive solutions architectures to data integration/migration, analytics and insights, AI and ML; Understanding and familiarity of one or more is a big plus- CI/CD, cloud devops, containers (Kubernetes/Docker, etc.); and, Possessing P&C Insurance industry experience, including proven understanding of insurance data, underlying KPIs and how they are used. Demonstrates extensive 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; Managing and streamlining data warehouse team and lead in creation of cloud data warehouse plans, roadmap, success metrics, and assessment of client's enterprise (on-premise and on-cloud) data systems; 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; Coordinating and providing guidance to technology teams and architects to define and develop technology solutions; Demonstrating critical thinking and problem-solving methods and skills; Supervising teams to create an atmosphere of trust; Seeking diverse views to encourage improvement and innovation; Coaching staff including timely meaningful written and verbal feedback; Building, maintaining and utilizing networks of client relationships and community involvement; Using appropriate facilitation techniques to gain agreement or move others to action; Managing resource requirements, project workflow, budgets, billing and collections; and, Preparing and/or coordinating complex written and verbal materials. 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

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

Industry/Sector Not Applicable Specialism Managed Services Management Level Manager Job Description & Summary At PwC, our people in software and product innovation focus on developing cutting-edge software solutions and driving product innovation to meet the evolving needs of clients. These individuals combine technical experience with creative thinking to deliver innovative software products and solutions. In testing and quality assurance at PwC, you will focus on the process of evaluating a system or software application to identify any defects, errors, or gaps in its functionality. Working in this area, you will execute various test cases and scenarios to validate that the system meets the specified requirements and performs as expected. 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 Software and Product Innovation - Testing and Quality Assurance team you, you manage test data operations and oversee the successful implementation of test data management capabilities across testing life cycles. As a Manager, you lead teams and manage client accounts, focusing on strategic planning and mentoring junior staff. You are responsible for project success and maintaining exemplary standards, while utilizing your broad knowledge in test data management tools and methodologies. Your role involves motivating and inspiring others to deliver quality, embracing technology and innovation, and upholding professional and technical standards. Responsibilities Oversee the execution of test data operations across various testing phases Guide and develop team members in test data management practices Strategize and implement plans to enhance client service delivery Maintain adherence to top standards and project timelines Utilize innovative technologies to improve testing processes Inspire and motivate teams to achieve excellence in deliverables Maintain compliance with professional and technical guidelines Foster a culture of continuous improvement and learning What You Must Have Bachelor's Degree 5 years of experience What Sets You Apart Certifications preferred: Test Data Management Tool Preferred field(s) of study: Computer Engineering Demonstrating experience as a Test Data Manager Utilizing tools like Talend, Delphix, Informatica TDM Implementing TDM capabilities across testing life cycles Understanding of Python and Snowflake Working knowledge of database management systems Demonstrating experience with Agile methodologies Excelling in communication and problem-solving skills Travel Requirements Up to 60% 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

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.

Who You Are: You are a passionate engineer who enjoys taking on new challenges. You are looking for an opportunity in a startup where you can grow with the company as an engineer. You are excited about building large scale distributed data systems and enjoy solving complex software problems. You are energized by the opportunity to help grow our product portfolio. You are self-motivated and are able to switch contexts as business needs change. With over 6 years of professional experience, you are adept at introducing new pragmatic designs and providing strong technical leadership. You value good design and readable code over fleeting trends. Our Stack: Programming Languages: GO and TypeScript Frameworks: React, Vite, MaterialUI Relational Databases: MySQL, PostgreSQL NoSQL Databases: ElasticSearch, DynamoDB Infrastructure: AWS, Docker, Terraform Operating Systems: Linux, Windows What You'll Do: Feature Development: Develop, deploy, and test existing and new products. Ensure high-quality results and timely delivery of full product roadmap items. Technical Leadership: Provide strong leadership on technical direction and pragmatic design decisions. Maintain good work ethics and a humble attitude while working in a fast-paced environment. Troubleshoot customer-reported issues. Team Collaboration and Improvement: Adopt existing team practices and recommend improvements as needed. Work collaboratively with team members to achieve common goals. Mentor junior engineers, fostering a culture of continuous learning and improvement. Requirements: Professional Experience: At least 8 years of professional experience delivering high-quality production software. Technical Proficiency: Strong working knowledge of a programming language in our stack. Strong working knowledge of building and interacting with RESTful APIs. Strong working knowledge of a relational and a NoSQL based database in our stack. Strong computer science fundamentals in data structures, algorithms, and object-oriented programming. Working knowledge of software engineering best practices for the full software development life cycle, including coding standards, code reviews, source control management, build and deployment processes, and testing. Cloud Experience: Strong working knowledge of AWS services such as API Gateway, AWS Lambda, EMR, EC2, and ECS. Communication and Problem-Solving: Excellent communication and writing skills. Version Control and Additional Skills: AWS CodeBuild GitHub GitHub Actions