Data Science Jobs 2025 (Now Hiring) – Smart Auto Apply

Senior Data Engineer (Oracle FDI / Data Warehouse) About Us Tech9 is shaking up a 20-year-old industry, and we're not slowing down. Recognized by Inc. 5000 as one of the nation's fastest-growing companies, we are dedicated to building innovative, high-quality software and data solutions. Our team is passionate about craftsmanship, collaboration, and delivering technology that makes an impact. We offer a 100% remote working environment with a supportive culture that empowers you to do your best work. Role Overview We are seeking a Senior Data Engineer with deep expertise in Oracle and Fusion Data Intelligence (FDI) to support the Elevate Finance team as they enter the data warehouse build phase. The project has completed discovery and requirements gathering—now it needs a highly technical, hands-on engineer to design and build scalable pipelines and warehouse components within Oracle’s ecosystem. You will partner closely with the existing data engineer and project leadership to translate business requirements into data models, reporting objects, and production-ready data flows. This role requires someone who can operate independently, ramp quickly, and deliver high-quality engineering work within a fast-moving finance data environment. Responsibilities Data Pipeline Development : Design, build, and maintain data pipelines and warehouse components within the Oracle ecosystem. Oracle FDI Expertise : Develop, support, and optimize reporting in Oracle Fusion Data Intelligence , including report creation when needed. Warehouse Build-Out : Enable the next phase of the Elevate Finance data warehouse, ensuring scalability, accuracy, and alignment with business needs. Collaboration & Requirements Translation : Work closely with the Elevate data engineer and project leadership to translate requirements into data models and deliverables. Best Practices : Contribute to standards for data quality, architecture, performance, and long-term maintainability. Problem Solving : Troubleshoot issues, optimize data flows, and ensure accuracy across financial datasets. Minimum Qualifications Strong expertise with Oracle FDI (Fusion Data Intelligence) — core requirement. Experience developing or enabling reports in Oracle FDI — major plus and highly preferred. Senior-level data engineering experience , with a proven ability to design and build pipelines, not just perform analysis or requirements gathering. Ability to operate independently, learn fast, and contribute meaningfully from day one. Strong communication and collaboration skills to work with cross-functional teams. Preferred Qualifications Experience with data architecture , including conceptual, logical, or physical modeling. Background working in finance or ERP-related data environments. Familiarity with data quality frameworks or governance practices. Why Join Us? High Impact : Play a key role in building a finance data warehouse from the ground up. Flexibility : 100% remote role based in LATAM with flexible hours. Collaboration : Work with a talented engineering team and directly influence architectural decisions. Growth : Deepen expertise in Oracle’s modern data ecosystem while contributing to a strategic enterprise initiative. Interview Process Our interview process is designed to move efficiently while ensuring transparency and alignment: 1. Introductory Call – 15 minutes - A brief conversation with our recruiting team to discuss your background, data engineering experience, and alignment with the role. 2. On-Demand HireVue Screening –15–30 minutes- Behavioral and situational questions focused on ownership, communication, data problem-solving, and ability to work independently. 3. Internal Technical Interview #1 – 1 hour- A deep technical discussion on Oracle FDI , Oracle-based data engineering, data modeling, and end-to-end pipeline design. 4. Internal Technical Interview #2 – 1 hour- Scenario-based evaluation focused on warehouse build-out, scalability, optimization, and navigating ambiguity in finance data environments. 5. Hiring Manager Interview – 30 minutes- A conversation about your experience, collaboration style, and ability to drive engineering work with limited oversight. 6. Client Interview – 1 hour- A final discussion with client stakeholders to validate technical alignment, communication style, and ability to deliver within a finance data warehouse setting. To ensure you've received our notifications, please whitelist the domains jazz.co, jazz.com, and applytojob.com Powered by JazzHR

Job Description: ERP Master Data Management (MDM), Data Analytics & Integration Techno-Functional Lead The San Francisco Chronicle has recognized Nextpower (Nasdaq: NXT) as one of the Top Workplaces. Join our growing team! This is a hybrid role (4 days/week onsite) at our headquarters in Fremont, California. We are seeking a highly skilled and motivated ERP Master Data Management (MDM), Data Analytics & Integration Techno-Functional Lead to design, govern, and deliver Nextracker’s Product Data Hub, Customer Data Hub, Financial Data Hub, ERP Analytics, and Integration architecture. This is a strategic role ensuring data quality, consistency, and availability across ERP and enterprise systems, while also enabling seamless integrations and actionable business insights. The ideal candidate combines hands-on ERP/MDM expertise, strong analytics acumen, and integration leadership experience in a project-based discrete manufacturing environment (captive and outsourced). Deep ERP knowledge—specifically Oracle Fusion Cloud or SAP—is required, along with a proven track record in enterprise reporting, system integration, and data governance. Experience with Azure Data Factory (ADF) and Enterprise Data Warehouse (EDW) is highly desirable to support scalable data management and integration initiatives. Key Responsibilities MDM Strategy & GovernanceDefine and implement master data governance frameworks across Product, Customer, and Financial Data Hubs. Establish standards, hierarchies, stewardship roles, and audit controls. Product Data HubManage product master data (items, BOMs, routings, attributes), ensuring consistency across ERP, PLM, and Manufacturing systems. Customer Data HubGovern customer and partner master data (hierarchies, accounts, contacts, credit), aligned with CRM and Order-to-Cash processes. Financial Data HubManage financial master data (chart of accounts, cost centers, entities, intercompany structures) to enable accurate, compliant reporting. ERP Data AnalyticsLead enterprise-wide ERP analytics strategy. Define KPIs, dashboards, and predictive models in partnership with Finance, Supply Chain, Manufacturing, and Procurement teams. Drive adoption of BI tools and ERP-native analytics. Integration LeadershipOversee ERP integration strategy and execution across PLM, MES, WMS, CRM, HR, and reporting platforms. Ensure data flow integrity, performance, and governance for APIs and middleware. Data Migration & CleansingLead ERP master data and transaction data migration efforts, ensuring accuracy, reconciliation, and cutover readiness. Data Quality & ControlsDefine KPIs for master data and integration quality. Implement monitoring, error handling, and remediation workflows. Partner with SOX/Internal Audit for governance and compliance controls. Technology EnablementEvaluate, implement, and manage MDM, Integration, and Analytics platforms (Oracle EDMCS, SAP MDG, Informatica, MuleSoft, Tableau, Power BI, Oracle Analytics Cloud, Azure Data Factory,). InnovationApply Generative AI and Agentic AI to accelerate data creation, enrichment, anomaly detection, predictive insights, and integration monitoring. Qualifications Bachelor’s degree in Computer Science, Data Management, Engineering, or a related field (Master’s preferred). 15+ years of IT/ERP experience with deep exposure to master data, integrations, and analytics. 10+ years of hands-on ERP experience managing Product, Customer, and Financial data domains in Oracle EBS, Oracle Fusion Cloud, or SAP. Proven expertise in ERP integrations across PLM, MES, WMS, CRM, and BI platforms. Strong track record in ERP analytics/reporting (KPIs, dashboards, visualization). Experience leading ERP data migration, cleansing, and governance programs. Excellent program leadership, cross-functional collaboration, and stakeholder management skills. Ability to thrive in a global, fast-paced, and highly collaborative environment. Preferred Qualifications Experience in renewable energy, manufacturing, or high-tech industries. Familiarity with MDM and integration platforms (Oracle EDMCS, SAP MDG, Informatica, Reltio, MuleSoft). Certifications such as PMP, Six Sigma, or data governance/data management credentials (DAMA, CDMP, CBIP). Why Join Us? Lead enterprise-wide data governance, analytics, and integration strategy at a high-growth, mission-driven company. Enable trusted data, seamless integrations, and actionable insights that power our ERP transformation. Partner with leaders across Finance, Supply Chain, Procurement, and Manufacturing to build a world-class ERP ecosystem. Competitive compensation, benefits, and flexible work arrangements. Nextpower offers a comprehensive benefits package. We provide health care coverage, dental and vision, 401(K) participation including company matching, company paid holidays with unlimited paid time off, generous discretionary company bonuses, life and disability protection and more. Employees in certain positions may be eligible for stock compensation. All plans are in accordance with relevant plan documents. For more information on Nextpower's benefits please view our company website at www.Nextpower.com . Pay is based on market location and may vary based on factors including experience, skills, education and other job-related reasons. The annual salary range for this position is $180,000 to $195,000. NEXRSR At Nextpower, we are driving the global energy transition with an integrated clean energy technology platform that combines intelligent structural, electrical, and digital solutions for utility-scale power plants. Our comprehensive portfolio enables faster project delivery, higher performance, and greater reliability, helping our customers capture the full value of solar power. Our talented worldwide teams are redefining how solar power plants are designed, built, and operated every day with smart technology, data-driven insights, and advanced automation. Together, we’re building the foundation for the world’s next generation of clean energy infrastructure. Nextpower is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We are Nextpower

The Company NorthMark Compute & Cloud (NMC²) is backed by dedicated leadership and investment, with a clear mission as it operates at the bleeding edge of technology. Its goal is to scale and enhance the high-performance computing (HPC) and cloud infrastructure that supports its clients' research, production, and delivery, enabling breakthroughs that shape the industries of tomorrow. Its engineers build critical infrastructure to eliminate friction in scientific research, simulations, analysis, and decision-making, accelerating discovery and driving faster innovation. The Position We are seeking an experienced Data Architect to own the data strategy, architecture, and governance of the data platform underpinning our next-generation data center. This role is key in structuring, securing, and optimizing the data flows from OT/IT systems, sensors, and business platforms into a unified, analytics and AI-ready data environment. This role will work closely with the Digital Architect, with a focus in systems integration, to deliver a seamless digital and data ecosystem. Responsibilities: Own the end-to-end data architecture for operational and business datasets, including OT telemetry, IoT sensor data, asset performance metrics, and other KPIs. Design and maintain the enterprise data model, ensuring consistency across disparate systems (BMS, EPMS, CMMS, ERP, etc). Define and oversee data ingestion and transformation pipelines for both real-time and batch processing. Architect and manage cloud-based data infrastructure (e.g., AWS Glue, GCP Dataflow, Azure Synapse) to ensure scalability and reliability. Select, implement and optimise time-series, relational, and analytical data platforms (e.g., InfluxDB, Snowflake, BigQuery). Establish data lake and/or lakehouse architecture for scalable, flexible storage and analytics. Define and enforce data governance policies, including access control, data retention, and regulatory compliance. Implement and maintain data quality, lineage, and metadata management frameworks. Deploy and manage data cataloging tools to support data discoverability, self-service analytics, and compliance. Evaluate and pilot emerging tools and platforms to continuously improve data infrastructure and support innovation initiatives. Define API and integration standards for all consuming/producing systems. Collaborate with security teams to design secure data architectures and implement role-based access controls (RBAC). Define and manage versioning and lifecycle policies for data models, schemas, and APIs across environments. Collaborate cross-functionally to deliver high-quality, trusted datasets to power predictive analytics, simulation, digital twin initiatives, and business reporting. Requirements: Bachelor’s or Master’s in Computer Science, Data Engineering, or related field or equivalent experience 7+ years of data architecture or data engineering experience in mission-critical or industrial environments (data centers, manufacturing, smart buildings, energy systems). Experience in data modeling and data governance frameworks. Experience designing and implementing time-series data platforms and streaming architectures. Expertise in ETL/ELT tools and modern data stack tools (e.g., dbt, Kafka, Spark, Airflow) and platforms such as Snowflake, BigQuery, Databricks, etc Familiarity with OT/IoT protocols (BACnet, Modbus, OPC-UA) and integrating operational data into IT systems. Strong knowledge of cloud-native analytics platforms (AWS, GCP, Azure) and edge data processing strategies. Excellent cross-functional communication skills, able to bridge engineering, operations, and analytics teams. It is impossible to list every requirement for, or responsibility of, any position. Similarly, we cannot identify all the skills a position may require since job responsibilities and the Company’s needs may change over time. Therefore, the above job description is not comprehensive or exhaustive. The Company reserves the right to adjust, add to or eliminate any aspect of the above description. The Company also retains the right to require all employees to undertake additional or different job responsibilities when necessary to meet business needs. Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future. Benefits & Perks: Hybrid-Work Schedule : We provide a hybrid working schedule with 3 days a week in the office Company-Paid Lunch Stipend : Lunch is provided via GrubHub Company-Paid Benefits: 100% Employer-Paid Medical in our High Deductible Health Plan, Dental and Vision benefits for employees and their families, 16 weeks of Paid Parental Leave, Employee Assistance Program, Life insurance, Short-Term Disability and Long-Term Disability 401(k): Company will match 100% of your contributions up to 6% Optional Employee-Paid Benefits: Medical insurance in our PPO plan and a variety of other benefits such as Health Savings Accounts (with Company Contribution!), Flexible Spending Accounts, Supplemental Life Insurance, Wellhub and more. Time Off: 25 days of Paid Time Off plus 12 company holidays EQUAL OPPORTUNITY EMPLOYER NORTHMARK STRATEGIES LLC IS AN EQUAL EMPLOYMENT OPPORTUNITY EMPLOYER. THE COMPANY'S POLICY IS NOT TO DISCRIMINATE AGAINST ANY APPLICANT OR EMPLOYEE BASED ON RACE, COLOR, RELIGION, NATIONAL ORIGIN, GENDER, AGE, SEXUAL ORIENTATION, GENDER IDENTITY OR EXPRESSION, MARITAL STATUS, MENTAL OR PHYSICAL DISABILITY, AND GENETIC INFORMATION, OR ANY OTHER BASIS PROTECTED BY APPLICABLE LAW. THE FIRM ALSO PROHIBITS HARASSMENT OF APPLICANTS OR EMPLOYEES BASED ON ANY OF THESE PROTECTED CATEGORIES.

Role OverviewThe Executive Director (ED) will lead the formalization and strategic ownership of client reference data across the ISG Data Group, overseeing the Data Integrity Team and driving the harmonization of client data, ICI entitlements, and contacts governance. This role is pivotal in supporting the Integrated Firm Management (IFM) directive, ensuring holistic delivery of Morgan Stanley’s products and services to clients through robust data stewardship, governance, and change management. Key Responsibilities1. Strategic Data Ownership & Governance Formalize ISG Data Group’s ownership of client reference data, establishing clear accountability and stewardship across business units.Lead the Data Integrity Team in maintaining, cleansing, and enhancing the quality of client reference data, including Trading Name (TN) and Legal Hierarchy structures.Develop and implement governance frameworks for client data, contacts, and entitlements, in partnership with the Contacts Governance Forum and EDG. 2. Client Harmonization & Orphan Party Clean-Up Drive firmwide client harmonization initiatives, including the remediation of orphan parties in A2 and mapping disconnected entities to correct hierarchies.Oversee legal entity policy changes and ensure alignment with regulatory requirements and business objectives.Lead the implementation of controls and processes to maintain ongoing data hygiene and integrity. 3. Contacts & Entitlements Governance Own the contacts data domain via EDG, establishing and chairing the Contacts Governance Forum to set standards for data quality, ownership, and technology enhancements.Develop shared-ownership models and tiering frameworks for contacts, integrating with key vendors and internal systems.Oversee the rollout and management of ICI entitlements, ensuring appropriate access, audit, and risk frameworks are in place. 4. Change Strategy & Integrated Firm Management Champion the change strategy required to support IFM’s mission of delivering consistent, systematic client coverage and intelligence globally.Collaborate with senior leadership to drive adoption of the Integrated Client Intelligence (ICI) platform, enabling 360-degree client connectivity and commercial opportunity identification.Lead cross-functional teams to implement strategic technology plans, resource allocation, and process improvements supporting IFM priorities. 5. Controls Implementation & Regulatory Compliance Design and enforce controls for data sharing, privacy, entitlements, and anomalous behavior monitoring within the ICI platform.Ensure compliance with regulatory commitments, privacy laws, and contractual obligations related to client data.Partner with Legal, Compliance, and Technology teams to refresh and expand controls as the platform evolves. 6. Stakeholder Engagement & Leadership Serve as the primary liaison to senior management, business unit leaders, and governance forums on all matters related to client reference data and contacts.Represent ISG Data Group in firmwide initiatives, working groups, and oversight committees.Mentor and develop talent within the Data Integrity Team and broader data governance community. Qualifications & Experience • Proven experience in client reference data management, governance, and strategy within financial services, ideally at ED level.• Deep understanding of client reference data, legal entity hierarchies, and data quality frameworks.• Demonstrated leadership in driving large-scale data harmonization and change management initiatives.• Expertise in regulatory compliance, privacy, and entitlements management.• Strong stakeholder management, communication, and cross-functional collaboration skills. WHAT YOU CAN EXPECT FROM MORGAN STANLEY: We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work. To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices​ into your browser. Expected base pay rates for the role will be between $175,000 and $300,000 per year at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs. Morgan Stanley's goal is to build and maintain a workforce that is diverse in experience and background but uniform in reflecting our standards of integrity and excellence. Consequently, our recruiting efforts reflect our desire to attract and retain the best and brightest from all talent pools. We want to be the first choice for prospective employees. It is the policy of the Firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, sex stereotype, gender, gender identity or expression, transgender, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy, veteran or military service status, genetic information, or any other characteristic protected by law. Morgan Stanley is an equal opportunity employer committed to diversifying its workforce (M/F/Disability/Vet).

Company: Oliver Wyman Description: Boston, Chicago, New York, Dallas, Toronto, Montreal Lead Data Scientist ____ WHO WE ARE Oliver Wyman is a global leader in management consulting. With offices in 50+ cities across 30 countries, Oliver Wyman combines deep industry knowledge with specialized expertise in strategy, finance, operations, technology, risk management, and organizational transformation. Our 4000+ professionals help clients optimize their business, improve their IT, operations, and risk profile, and accelerate their organizational performance to seize the most attractive opportunities. Our professionals see what others don't, challenge conventional thinking, and consistently deliver innovative, customized solutions. As a result, we have a tangible impact on clients’ top and bottom lines. Our clients are the CEOs and executive teams of the top Global 1000 companies. ____ PRACTICE OVERVIEW At Oliver Wyman Digital we partner with clients to deliver breakthrough outcomes for their toughest digital challenges. We blend the power of digital technology with deep industry expertise to tackle disruption and create impact. By building strong capabilities and culture, we accelerate and embed digital transformation. Our people co-create and grow customer-focused solutions that win. We modernize technology and harness value from data and analytics. We build resilience so our clients are ready for tomorrow’s risks and can optimize operations for the future. Above all, we work collaboratively with our clients’ leaders, employees, stakeholders, and customers to jointly define, design, and achieve lasting results. ____ THE ROLE AND RESPONSIBILITIES Our clients drive our projects – and no two OW Digital projects are the same. You’ll be working with varied and diverse teams to deliver unique and unprecedented products across industries. As a Lead Data Scientist , you are primarily responsible for managing technical projects, including data engineering, model selection and design, and infrastructure deployment in both internal and client environments. We want and expect our people to develop deep expertise in a particular industry (financial services, health and life sciences, etc.), but you should be comfortable developing methods and selecting approaches based on a combination of first principles thinking, curiosity, and your pre-built foundations of software engineering and development. As a Data Scientist, you will work alongside Oliver Wyman partners in the Digital and other practice groups, engage directly with clients to understand their business challenges, and craft appropriate solutions to be delivered through collaboration with other OW Digital specialists and consultants. Your responsibilities will include: Exploring data, building models, and evaluating solution performance to resolve core business problems Explaining, refining, and collaborating with stakeholders through the journey of model building Keeping up with your domain’s state of the art & developing familiarity with emerging modelling and data engineering methodologies Advocating application of best practices in modelling, code hygiene and data engineering Leading the development of proprietary statistical techniques, algorithms or analytical tools on projects and asset development Working with Partners and Principals to shape proposals that leverage our data science and engineering capabilities ____ YOUR EXPERIENCE & QUALIFICATIONS You are a well-rounded technologist who brings a wealth of real-world experience and: Technical background in computer science, data science, machine learning, artificial intelligence, statistics, or other quantitative and computational science Compelling track record of designing and deploying large-scale technical solutions, which deliver tangible, ongoing value including: Building and deploying robust, complex production systems that implement modern data science methods at scale, including supervised learning (regression and classification with linear and non-linear methods) and unsupervised learning (clustering, matrix factorization methods, outlier detection, etc.) Leveraging cloud-based infrastructure-as-code (CloudFormation, Bicep, Terraform, etc.) to minimize deployment toil and enabling solutions to be deployed across environments quickly and repeatably Demonstrating comfort and poise in environments where large projects are time-boxed, and therefore consequential design decisions may need to be made and acted upon rapidly Demonstrated fluency in modern programming languages for data science (i.e. at least Python, other expertise welcome), covering the full ML lifecycle (e.g. data storage, feature engineering, model persistence, model inference, and observability) using open-source libraries, including: Knowledge of one or more machine learning frameworks, including but not limited to: Scikit-Learn, TensorFlow, PyTorch, MxNet, ONNX, etc. Familiarity with the architecture, performance characteristics and limitations of modern storage and computational frameworks, with cloud-first considerations for Azure and AWS particularly welcome A history of compelling side projects or contributions to the Open-Source community is valued but not required Solid theoretical grounding in the mathematical core of the major ideas in data science: Deep understanding of a class of modelling or analytical techniques (e.g. Bayesian modeling, time-series forecasting, etc.) Fluency in the mathematical principles and generalizations of data science – e.g., Statistics, Linear Algebra and Vector Calculus Experience presenting at high-impact data science conferences and solid connections to the data science community (e.g., via meetups, continuing relationships with academics, etc.) is highly valued Interest/background in Financial Services, and capital markets in particular, Healthcare and Life Sciences, Consumer, Retail, Energy, or Transportation industries ____ YOUR ATTRIBUTES Our team comprises all sorts of people from all sorts of backgrounds. We don’t care whether you’re loud or quiet, funny, or serious, introverted or extroverted. We do, however, ask that you have: An undergraduate or advanced degree from a top academic program A genuine passion for technology and solving problems A pragmatic approach to solutioning and delivery Excellent communication skills, both verbal and written A clear commitment to creating impactful solutions that solve our clients’ problems The ability to work fluidly and respectfully with our incredibly talented team Willingness to travel for targeted client and/or internal stakeholder meetings ____ OUR VALUES & CULTURE We’re serious about making OW Digital a rewarding, enjoyable, and balanced place to work. Rewarding work We’ve worked hard to earn our reputation for high quality work. That reputation allows us to work with major brands at all levels on incredibly exciting projects. Combine that with Oliver Wyman’s status as one of the Fortune 100 “Best Companies to Work For”, and you get a rewarding combination of challenge, support, and recognition. Progressive employment Flat organizational structures, resolute I&D values, and a commitment to rewarding good work make for a progression path truly based on merit. A menu of healthcare options, 401k matching, and a culture of continuous improvement means your work gets more rewarding over time. Enjoyable days We want our team members to build a career here—and to be happy. That makes us serious about caring for, mentoring, developing, and sponsoring each other.This commitment also leads to opportunities for social impact and community work on company time. Balanced lives Our work is demanding, and we want you to have the best work-life balance you can. We’ll work with you to accommodate your personal life with flexible hours and the ability to work from home. ____ HOW TO APPLY If you like what you’ve read, we’d love to hear from you! You can find this and other roles and submit your CV at https://careers.marshmclennan.com/global/en/oliver-wyman-search. And please include a short note introducing yourself and what you’re looking for. The application process will include both technical testing and team fit interviews. Oliver Wyman is an equal opportunity employer. Our commitment to diversity is genuine, deep, and growing. We’re not perfect, but we’re working hard right now to make our teams balanced, representative and diverse. ____ _ ABOUT OLIVER WYMAN Oliver Wyman is a global leader in management consulting. With offices in more than 70 cities across 30 countries, Oliver Wyman combines deep industry knowledge with specialized expertise in strategy, operations, risk management, and organization transformation. The firm has more than 6,000 professionals around the world who work with clients to optimize their business, improve their operations and risk profile, and accelerate their organizational performance to seize the most attractive opportunities. Oliver Wyman is a business of Marsh McLennan [NYSE: MMC]. For more information, visit www.oliverwyman.com . Follow Oliver Wyman on Twitter @OliverWyman. Marsh McLennan and its Affiliates are EOE Minority/Female/Disability/Vet/Sexual Orientation/Gender Identity employers. The applicable base salary range for this role is $150,00 to $195,000. The base pay offered will be determined on factors such as experience, skills, training, location, certifications, and 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. Oliver Wyman, a business of Marsh McLennan (NYSE: MMC), is a management consulting firm combining deep industry knowledge with specialized expertise to help clients optimize their business, improve operations and accelerate performance. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businesses: Marsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit oliverwyman.com, or follow on LinkedIn and X.Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age background, disability, ethnic origin, family duties, gender orientation or expression, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, veteran status (including protected veterans), or any other characteristic protected by applicable law. If you have a need that requires accommodation, please let us know by contacting reasonableaccommodations@mmc.com.Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one “anchor day” per week on which their full team will be together in person.

Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management and wealth management services. The Firm's employees serve clients worldwide including corporations, governments, and individuals from more than 1,200 offices in 43 countries. In this role, the VP will support the U.S. Banks Data Quality Risk Program for driving compliance with the Firm’s Data Quality Policy and procedures. The VP role is in the U.S. Banks First Line Business Risk team. This team is responsible for managing risks associated with Data Quality. This role requires regular interaction and partnership with other divisions across firm, technology, Bank Business partners, Bank Data Stakeholders, Compliance, Second Line Risk, and Internal Audit. Primary Responsibilities Include: Establish and execute consistent processes to effectively expand the Banks Data Quality Risk oversight (e.g. identification of prioritized data for the U.S. Banks). Lead data flow analysis with a solid technical understanding to assess existing data quality controls, oversee onboarding of data quality controls to DQ Control Monitoring platform, and lead fit-for-purpose attestations by partnering with Business and Technology partners. Identify business data ownership, manage cataloging of metadata into the Firmwide Data Catalog (Collibra), and control ownership among Bank Business and Technology partners. Lead the development of metrics and dashboards for periodic Senior Management updates and reporting in various forums including Banks Data Quality Risk Management Committee. Deliver updates and presentations to senior audiences in relevant committees and forums. Product owner of the DQ Control Monitoring platform, recommending enhancements, and managing implementations with the technology team. Manage Data Quality control monitoring and exception resolution process. Manage the identification and mitigation of data related issues related to processes, reporting, technical issues, or controls impacting data Consumers. Develop and update procedures and/or processes needed to ensure compliance to the Global Data Quality Policy. Team management responsibilities to oversee key Data Quality Risk processes, providing mentoring, supervisory oversight, and coordination. Qualifications: Minimum 6-8 years of experience in financial services. Bachelor’s Degree required. Experience with data governance, data quality, data analysis, data lineage processes. Strong technical and analytical skills with a focus on fixing data issues at the source. Understanding of BCBS 239 and Global Financial Crimes risk management and control concepts. Ability to collaborate with cross-functional stakeholders. Ability to run meetings with multiple stakeholders and business areas. Strong written and verbal communication skills and ability to lead effective meetings. Strong organizational skills, attention to detail, and proven track record of project prioritization, execution, and risk management. Highly motivated, self-starter with a clear accountability & ownership mindset and ability to challenge assumptions. Sound judgment and ability to escalate project risks and issues. Advanced proficiency in Microsoft Excel, PowerPoint, Outlook, Word, Visio and other MS Office Tools. Experience with data governance and data quality tools (e.g. Collibra, Informatica). WHAT YOU CAN EXPECT FROM MORGAN STANLEY: We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work. To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices​ into your browser. Expected base pay rates for the role will be between $110,000 and $190,000 per year at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs. Morgan Stanley's goal is to build and maintain a workforce that is diverse in experience and background but uniform in reflecting our standards of integrity and excellence. Consequently, our recruiting efforts reflect our desire to attract and retain the best and brightest from all talent pools. We want to be the first choice for prospective employees. It is the policy of the Firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, sex stereotype, gender, gender identity or expression, transgender, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy, veteran or military service status, genetic information, or any other characteristic protected by law. Morgan Stanley is an equal opportunity employer committed to diversifying its workforce (M/F/Disability/Vet).

About Slope Slope is building AI-driven underwriting and credit infrastructure to power the future of embedded capital. We partner with leading platforms to help small businesses access financing seamlessly at the point of need. The Role We are looking for a hands-on, full-stack Data Scientist to bridge the gap between raw platform sales data and pre-approval decisions. This role is central to improving how we leverage real-time merchant performance data to automate underwriting and enable instant credit access. You will own the data science foundation that transforms noisy transactional data into actionable signals for credit decisioning. Think of the problems faced by Stripe Capital or Shopify Capital—this is the type of modeling and data product we need to build. What You’ll Do Build and productionize models that map sales and payment data into reliable credit signals and pre-approval pipelines. Develop frameworks to handle fragmented, messy sales data and normalize it for underwriting use. Partner closely with Product, Engineering, and Risk to design pre-approval strategies and continuously improve model accuracy Conduct exploratory analyses to identify leading indicators of merchant growth, default risk, and repayment capacity. Translate insights into tools and dashboards that underwriters and product teams can act on. Establish best practices for experimentation, back-testing, and data validation in underwriting contexts. What We’re Looking For 3–6+ years experience as a Data Scientist, ideally in fintech, lending, or capital products. Hands-on experience with sales/transaction data (e.g., card processing, e-commerce, platform transaction data). Background in underwriting, risk modeling, or capital-as-a-service products (Stripe Capital, Shopify Capital, Square Loans, etc. experience highly valued). Strong modeling and statistical chops: ideally has developed & shipped fraud or credit risk models E2E. Comfortable writing production-quality code (Python, SQL, ideally some familiarity with data pipelines). A bias for action—you enjoy building MVPs and iterating quickly with stakeholders. Excellent communication skills: able to translate technical insights into business outcomes. Nice to Have Experience in credit risk, merchant lending, or BNPL. Familiarity with data architecture for high-volume transactional platforms. Prior startup experience (0→1 or scaling phase). Why Join Us Chance to shape the backbone of Slope’s underwriting engine at a critical growth phase. Work alongside a high-caliber team backed by J.P. Morgan, Sam Altman, and world-class investors. Ownership: as the first dedicated DS IC in this area (sales-data driven underwriting), you’ll set the standard for data science in underwriting at Slope.

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today SpaceX is actively developing the technologies to make this possible, with the ultimate goal of enabling human life on Mars. DATA ENGINEER - TOP SECRET CLEARANCE (APPLICATION SOFTWARE, DATA) The application software team is the central nervous system of SpaceX – we create mission critical applications that are used throughout SpaceX to accelerate launch vehicle production and flight as well as systems that allow Starlink to grow into a worldwide fast, reliable Internet service. We are looking for engineers who treat fellow teammates with fairness, respect, and support. Our team is creating systems to ingest and store concurrent streams of data from many always-on assets to manage the world’s largest satellite constellation, reusable rockets, and Dragon spacecraft. Other applications range from platforms that enable rapid build and reuse of Starship, designing the next generation manufacturing software that will be used in high throughput factories for Starlink, and public facing systems where customers can join our Starlink network globally. We work closely with engineers throughout the company to create and update our systems with respect to crewed launches, Starship flights, changes to the Starlink network and much more. Aerospace experience is not required to be successful here - rather we look for smart, motivated, collaborative engineers who love solving problems and want to make an impact on a super inspiring mission. You will have full ownership of challenging problems, working with a team of enthusiastic engineers to design and produce solutions that enable SpaceX to move towards our goals at a rapid pace. The success of the missions at SpaceX depends on the software that you and your team produce. RESPONSIBILITIES: Develop highly reliable and scalable data pipelines to empower engineers across SpaceX Create new applications that improve how the business at SpaceX operates Collaborate with peers on architecture, design, and code reviews Build prototypes to prove out key design concepts and quantify technical constraints Own all aspects of software engineering and product development Deep dive into business problems, find efficient solutions and apply first principles thinking BASIC QUALIFICATIONS: Bachelor's degree in computer science, data science, engineering, math, physics, or scientific discipline; OR 2+ years of professional experience building software in lieu of a degree 1+ years of experience in full stack development, software engineering, data engineering, or data science PREFERRED SKILLS AND EXPERIENCE: Programming experience in Python, C#, Java, Scala, Go or similar languages Experience working with in-stream, big data processing and analytics using Apache Kafka, Spark, Flink, SQL or similar Experience with relational and non-relational databases, data lakes e.g. HBase, Hive, Delta Lake, PostgreSQL, CockroachDB or similar Experience with data exploration tools like Grafana, Jupyter Notebooks, Metabase, PowerBI or similar Good understanding of version control, testing, continuous integration, build, deployment and monitoring Some front-end experience in Angular, React, or similar JavaScript framework Good understanding of statistics, machine learning algorithms and frameworks ADDITIONAL REQUIREMENTS: Active Top Secret or TS/SCI. Note that an active clearance may provide the opportunity for you to work on sensitive SpaceX missions. If so, you will be subject to pre-employment drug and random drug and alcohol testing Willing to work extended hours and weekends when needed COMPENSATION AND BENEFITS: Pay Range: Data Engineer/Level I: $120,000.00 - $145,000.00/per year Data Engineer/Level II: $140,000.00 - $170,000.00/per year Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience. Base salary is just one part of your total rewards package at SpaceX. You may also be eligible for long-term incentives, in the form of company stock, stock options, or long-term cash awards, as well as potential discretionary bonuses and the ability to purchase additional stock at a discount through an Employee Stock Purchase Plan. You will also receive access to comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short and long-term disability insurance, life insurance, paid parental leave, and various other discounts and perks. You may also accrue 3 weeks of paid vacation and will be eligible for 10 or more paid holidays per year. Employees accrue paid sick leave pursuant to Company policy which satisfies or exceeds the accrual, carryover, and use requirements of the law. ITAR REQUIREMENTS: To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. § 1157, or (iv) Asylee under 8 U.S.C. § 1158, or be eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here . SpaceX is an Equal Opportunity Employer; employment with SpaceX is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status. Applicants wishing to view a copy of SpaceX’s Affirmative Action Plan for veterans and individuals with disabilities, or applicants requiring reasonable accommodation to the application/interview process should reach out to EEOCompliance@spacex.com .

Biohub is leading the new era of AI-powered biology to cure or prevent disease through its 501c3 medical research organization, with the support of the Chan Zuckerberg Initiative. The Team Biohub supports the science and technology that will make it possible to help scientists cure, prevent, or manage all diseases by the end of this century. While this may seem like an audacious goal, in the last 100 years, biomedical science has made tremendous strides in understanding biological systems, advancing human health, and treating disease. Achieving our mission will only be possible if scientists are able to better understand human biology. To that end, we have identified four grand challenges that will unlock the mysteries of the cell and how cells interact within systems — paving the way for new discoveries that will change medicine in the decades that follow: Building an AI-based virtual cell model to predict and understand cellular behavior Developing novel imaging technologies to map, measure and model complex biological systems Creating new tools for sensing and directly measuring inflammation within tissues in real time.tissues to better understand inflammation, a key driver of many diseases Harnessing the immune system for early detection, prevention, and treatment of disease The Opportunity At Biohub, we are generating unprecedented scientific datasets that drive biological modeling innovation: Billions of standardized cells of single-cell transcriptomic data, with a focus on measuring genetic and environmental perturbations 10s of thousands of donor-matched DNA & RNA samples PB-scale static and dynamic imaging datasets TB-scale mass spectrometry datasets Diverse, large multi-modal biological datasets that enable biological bridges across measurement types and facilitate multi-modal model training to define how cells act. After model training, we make all data products available through public resources like CELLxGENE Discover and the CryoET Portal, used by tens of thousands of scientists monthly to advance understanding of genetic variants, disease risk, drug toxicities, and therapeutic discovery. As a Senior Staff Data Scientist, you'll lead the creation of groundbreaking imaging datasets that decode cellular function at the molecular level, describe development, and predict responses to genetic or environmental changes. Working at the intersection of data science, biology, and AI, you'll define data needs, format standards, analysis approaches, quality metrics, and our technical strategy, creating systems to ingest, transform, and validate and deploy data products. Success for this role means delivering high-quality, usable datasets that directly address modeling challenges and accelerate scientific progress. Join us in building the data foundation that will transform our understanding of human biology and move us along the path to curing, preventing, and managing all disease. What You'll Do Define the technical strategy for a robust imaging data ecosystem and build data ingestion pipelines, define data formats, write validation tools, QC metrics, and analysis pipelines. Collaborate with ML engineers, AI Researchers, and Data Engineers to iteratively evaluate, refine and grow datasets to maximize model performance. Discover and define new data generation opportunities, and manage the delivery of those data products to our AI team. Collaborate with engineers, product managers, UX designers, and other data scientists to publish valuable datasets as part of CZI's open data ecosystem. What You'll Bring 10+ years of experience with large scale biological imaging data. Demonstrated delivery of multiple large biological data products. Experience with big data: extraction, transport, loading, databases, standardization, validation, QC, and analysis. Experience with processing and orchestration pipelines, such as Argo Workflows , Databricks Strong fundamentals in statistical reasoning and machine learning. Experience with biological data analysis and QC best practices Excellent written and verbal communication skills. Enthusiasm to ramp up on technologies and learn new domains. Experience working in a multidisciplinary environment (engineering, product, AI Research). Compensation The Redwood City, CA base pay range for a new hire in this role is $241,000 - $331,100. New hires are typically hired into the lower portion of the range, enabling employee growth in the range over time. Actual placement in range is based on job-related skills and experience, as evaluated throughout the interview process. Better Together As we grow, we’re excited to strengthen in-person connections and cultivate a collaborative, team-oriented environment. This role is a hybrid position requiring you to be onsite for at least 60% of the working month, approximately 3 days a week, with specific in-office days determined by the team’s manager. The exact schedule will be at the hiring manager's discretion and communicated during the interview process. Benefits for the Whole You We’re thankful to have an incredible team behind our work. To honor their commitment, we offer a wide range of benefits to support the people who make all we do possible. Provides a generous employer match on employee 401(k) contributions to support planning for the future. Paid time off to volunteer at an organization of your choice. Funding for select family-forming benefits. Relocation support for employees who need assistance moving If you’re interested in a role but your previous experience doesn’t perfectly align with each qualification in the job description, we still encourage you to apply as you may be the perfect fit for this or another role. #LI-Hybrid

Who We Are At Corebridge Financial, we believe action is everything. That’s why every day we partner with financial professionals and institutions to make it possible for more people to take action in their financial lives, for today and tomorrow.We align to a set of Values that are the core pillars that define our culture and help bring our brand purpose to life: We are stronger as one: We collaborate across the enterprise, scale what works and actdecisively for our customers and partners. We deliver on commitments: We are accountable, empower each other and go above and beyond for our stakeholders. We learn, improve and innovate: We get better each day by challenging the status quo and equipping ourselves for the future. We are inclusive: We embrace different perspectives, enabling our colleagues to make an impact and bring their whole selves to work. Who You’ll Work With The Information Technology organization is the technological foundation of our business and works in collaboration with our partners from across the company. The team drives technology and digital transformation, partners with business leaders to design and execute new strategies through IT and operations services and ensures the necessary IT risk management and security measures are in place and aligned with enterprise architecture standards and principles. About The Role We are seeking a highly skilled Salesforce Data Integration Engineer / Architect to design, implement, and optimize integration solutions that connect Salesforce with enterprise systems, data warehouses, and third-party applications. The role combines technical expertise in integration patterns with architectural vision to ensure secure, scalable, and high-performance data flows across platforms. You will design, build, and maintains seamless data flow between Salesforce and other systems, ensuring data quality, security, and accessibility. The candidate will be part of the Information management organization responsible developing integration solutions using Salesforce APIs, creating ETL pipelines for data migration, troubleshooting issues, and collaborating with cross-functional teams to meet business data needs. Responsibilities As a Leader, you are respected for your deep technical expertise and/or ability to oversee programs and processes. You balance the needs of multiple stakeholders, making sound decisions using data, analysis, experience, and judgment, along with a risk mindset. Ultimately, you take ownership for key outcomes. Responsibilities: Architecture & Design Design scalable data integration architecture between Salesforce (Sales Cloud, Service Cloud, Marketing Cloud, Data Cloud, AgentForce etc) and external systems. Define integration patterns (real-time, batch, event-driven, API-led, ETL) and select the appropriate approach per use case. Establish data governance, security, and compliance standards for data movement. Recommend middleware or integration platforms. Implementation Build, configure, and maintain integrations using REST/SOAP APIs, ETL tools, or custom solutions. Develop data pipelines for ingesting, transforming, and synchronizing Salesforce data with on-premises or cloud data warehouses (e.g., Snowflake, Redshift, BigQuery). Implement event-driven integrations using Salesforce Platform Events, Change Data Capture, or Streaming APIs. Optimize data flows for performance, error handling, retry logic, and resiliency. Data Management Define data models, mapping, and transformations between Salesforce and other systems. Ensure high-quality, clean, and consistent data across environments. Manage large-scale data migrations into and out of Salesforce, including validation, deduplication, and reconciliation. Monitor data pipelines and integrations for performance, availability, and compliance. Collaboration & Leadership Partner with Salesforce administrators, developers, business analysts, and enterprise architects to align integration design with business needs. Provide technical leadership and mentoring to integration developers or data engineers. Participate in code reviews, solution design sessions, and technical workshops. Document integration architecture, data flows, and technical standards. Skills and Qualifications The position calls for a seasoned IT professional with senior leadership qualities and background with 10+ years’ experience in IT. 10+ years of experience of salesforce integration work. 5 + years of experience in delivering enterprise-level data integration projects. 5 + years of experience with cloud platforms AWS, Azure. Salesforce + integration platform certifications strongly recommended. Bachelor's degree in Information Technology or related field preferred, or equivalent work experience. 10+ years of experience in the IT Industry. Technical Expertise Strong hands-on experience with Salesforce APIs (REST, SOAP, Bulk, Streaming, Metadata APIs). Strong hands-on experience on Salesforce cloud applications like Service cloud, Experience cloud, Marketing Cloud, Data cloud . Experience with Salesforce AgentForce platform. Strong hands-on experience with Tableau as BI Platform to architect BI solutions on Salesforce ecosystem apps and third party data outside of salesforce. Proficiency with integration/middleware platforms (AWS API Gateway, MuleSoft) . Experience with ETL/ELT processes and data pipeline development. Proficiency in SQL and working with relational databases (Oracle, SQL Server, PostgreSQL). Experience with cloud platforms (AWS, Azure, GCP) and data warehouses (Snowflake). Architecture Skills Ability to define integration architecture patterns (real-time sync, batch, event-driven, microservices-based). Understanding of API management, versioning, throttling, and security (OAuth, SAML, JWT, TLS) . Knowledge of data governance, security, and compliance (GDPR, HIPAA, SOC2). Other Competencies Strong problem-solving and debugging skills. Experience with Agile/Scrum delivery. Excellent documentation and communication skills. Strong SQL skills and experience working with relational/dimensional databases (e.g., Oracle, SQL Server, Snowflake) and no-SQL databases like Cassandra/AWS Dynamo DB. Familiarity with data warehousing concepts and ETL processes Compensation The actual compensation offered will ultimately be dependent on multiple factors, which may include the candidate’s geographic location, skills, experience and other qualifications. In addition, the position is eligible for a discretionary bonus in accordance with the terms of the applicable incentive plan. Corebridge also offers a range of competitive benefits as part of the total compensation package, as detailed below. Work Location This position is based in Corebridge Financial’s Houston, TX, Woodland Hills, CA, or Jersey City, NJ office and is subject to our hybrid working policy, which gives colleagues the benefits of working both in an office and remotely. Estimated Travel May include up to 25%. #LI-SAFG #LI-CW1 #LI-Hybrid Why Corebridge? At Corebridge Financial, we prioritize the health, well-being, and work-life balance of our employees. Our comprehensive benefits and wellness program is designed to support employees both personally and professionally, ensuring that they have the resources and flexibility needed to thrive. Benefit Offerings Include: Health and Wellness: We offer a range of medical, dental and vision insurance plans, as well as mental health support and wellness initiatives to promote overall well-being. Retirement Savings: We offer retirement benefits options, which vary by location.In the U.S., our competitive 401(k) Plan offers a generous dollar-for-dollar Company matching contribution of up to 6% of eligible pay and a Company contribution equal to 3% of eligible pay (subject to annual IRS limits and Plan terms). These Company contributions vest immediately. Employee Assistance Program: Confidential counseling services and resources are available to all employees. Matching charitable donations: Corebridge matches donations to tax-exempt organizations 1:1, up to $5,000. Volunteer Time Off: Employees may use up to 16 volunteer hours annually to support activities that enhance and serve communities where employees live and work. Paid Time Off: Eligible employees start off with at least 24 Paid Time Off (PTO) days so they can take time off for themselves and their families when they need it. Eligibility for and participation in employer-sponsored benefit plans and Company programs will be subject to applicable law, governing Plan document(s) and Company policy. We are an Equal Opportunity Employer Corebridge Financial, is committed to being an equal opportunity employer and we comply with all applicable federal, state, and local fair employment laws. All applicants will be considered for employment based on job-related qualifications and without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, disability, neurodivergence, age, veteran status, or any other protected characteristic. The Company is also committed to compliance with all fair employment practices regarding citizenship and immigration status. At Corebridge Financial, we believe that diversity and inclusion are critical to building a creative workplace that leads to innovation, growth, and profitability. Through a wide variety of programs and initiatives, we invest in each employee, seeking to ensure that our colleagues are respected as individuals and valued for their unique perspectives.Corebridge Financial is committed to working with and providing reasonable accommodations to job applicants and employees, including any accommodations needed on the basis of physical or mental disabilities or sincerely held religious beliefs.If you believe you need a reasonable accommodation in order to search for a job opening or to complete any part of the application or hiring process, please send an email to TalentandInclusion@corebridgefinancial.com .Reasonable accommodations will be determined on a case-by-case basis, in accordance with applicable federal, state, and local law.We will consider for employment qualified applicants with criminal histories, consistent with applicable law. To learn more please visit: www.corebridgefinancial.com Functional Area: IT - Information TechnologyEstimated Travel Percentage (%):Relocation Provided:American General Life Insurance Company

About Gridware Gridware is a San Francisco-based technology company dedicated to protecting and enhancing the electrical grid. We pioneered a groundbreaking new class of grid management called active grid response (AGR), focused on monitoring the electrical, physical, and environmental aspects of the grid that affect reliability and safety. Gridware’s advanced Active Grid Response platform uses high-precision sensors to detect potential issues early, enabling proactive maintenance and fault mitigation. This comprehensive approach helps improve safety, reduce outages, and ensure the grid operates efficiently. The company is backed by climate-tech and Silicon Valley investors. For more information, please visit www.Gridware.io . Role Description As a Senior Data Engineer at Gridware, you’ll design and scale the data infrastructure that powers our real-time grid monitoring platform. You’ll build high-performance pipelines that transform massive streams of sensor and telemetry data into actionable insights - helping detect faults, predict failures, and strengthen the grid that powers entire communities. Responsibilities Deploy and manage Unity Catalog to standardize data governance, lineage, and access control across data domains. Design, develop, and maintain scalable data pipelines and architectures. Implement data ingestion, transformation, and storage solutions. Ensure data quality and integrity across various data sources and destinations. Collaborate with software engineers, data scientists, analysts, and other stakeholders to meet data requirements. Optimize and tune data workflows for performance and efficiency. Monitor, troubleshoot, and resolve issues in data pipelines and related systems. Document data processes, architecture, and workflow procedures. Required Skills 5+ years of professional experience in data engineering or related roles, building and scaling real-time data infrastructure Experience designing and maintaining data lakes and lakehouse architectures with governance and access controls Strong in Python and SQL, with deep experience in relational, time-series, and streaming databases Hands-on with modern data stacks - Spark, Kafka, Databricks, Grafana, and other cloud-native tools Skilled in data modeling, ETL/ELT pipelines, and real-time streaming architectures for production systems Familiar with CI/CD, version control, and data governance/security best practices Bonus Skills Experience with real-time data processing and streaming analytics frameworks Familiarity with IoT and embedded systems, including sensor data pipelines and edge computing Hands-on with Docker, Kubernetes, and Protobuf in production environments Exposure to machine learning workflows and real-time monitoring for IoT and time-series data Comfortable operating in a high-growth startup environment, adapting quickly across domains $180,000 - $195,000 a year This describes the ideal candidate; many of us have picked up this expertise along the way. Even if you meet only part of this list, we encourage you to apply! Benefits Health, Dental & Vision (Gold and Platinum with some providers plans fully covered) Paid parental leave Alternating day off (every other Monday) “Off the Grid”, a two week per year paid break for all employees. Commuter allowance Company-paid training

Ankura is a team of excellence founded on innovation and growth. Practice Overview Ankura’s well-regarded and fast-growing Data Privacy practice offers a full-service suite of data privacy solutions for clients, regardless of industry or size. Our experts assess data privacy risk and readiness relative to existing and emerging privacy regulations and help organizations build and mature their privacy programs. Our Privacy practice is a rapidly growing part of the Data & Technology segment of our business. Our professionals help our clients address their data privacy challenges, including conducting privacy risk assessments, creating policies and procedures, building data inventories, reviewing and interpreting regulatory changes, developing consumer response processes, implementing technology and assisting organizations through privacy related regulatory investigations. Role Overview The Data Privacy Senior Managing Director role is an executive level position that leads our privacy team as well as sells, leads, and manages complex client engagement(s). The successful candidate will be a "person of stature" and self-sustaining rainmaker who generates $3 - $5 million+ annually. The candidate will possess a strong personal brand and deep market-making relationships resulting in a robust flow of inbound calls and bookings. The candidate will be a hands-on, passionate consulting executive who will work with team members in developing and executing on key account plans, nurturing executive level client relationships of the most strategic accounts, and achieving revenue targets. The successful candidate must be a commercial leader able to drive revenue growth and capture market share. The role will be intimately familiar with the practice's customer support objectives and responsible for designing, managing, and performing cyber data privacy activities and go to market strategy while conveying your results to internal and external customers. Requirements: Develop new revenue opportunities for Ankura; the primary target markets for this activity are C-suite executives and leaders within organizations. Source and close new clients through referrals, networking, and other means (tradeshows, regional organizations, etc.) Cultivate and maintain long term relationships with existing clients by delivering elite client service and engaging them by using knowledge of each industry and organization. Formulate plan to achieve monthly, quarterly, and annual revenue targets Design innovative solutions to solve for the evolving and complex data privacy regulatory landscape. Lead the day-to-day activities of engagements including interaction with other team members, subject matter experts, and client contacts Actively contribute to the growth and development of junior team members through trainings, informal mentorship, recruiting efforts, and culture building Build relationships and engage in activities such as speaking events and development of thought leadership designed to generate qualified leads, which will then be worked on in collaboration with Ankura practitioners. Qualifications: Bachelor’s degree from an accredited college/university. Advanced degrees, such as an MBA, are a plus. 10+ years of relevant business development work experience selling consulting services to target markets across multiple industries Proven revenue generation of $3 - $5 million+ annually in consulting and/or professional services with significant client engagement experience Experience implementing data privacy go to market strategy and new service offerings Knowledge of data privacy program management and implementation including ability to assess and interpret regulations and requirements to ensure compliance with data privacy standards Knowledge of various data privacy regulations globally such as GDPR, CCPA and HIPAA Knowledge and experience developing and managing key privacy deliverables such as: data inventory registers, privacy impact assessments, and privacy training Experience building data privacy teams Certified Information Privacy Professional (CIPP) certification a plus Willingness and flexibility to travel as required #LI-NT1 #LI-Remote Ankura is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against based on disability. Equal Employment Opportunity Posters, if you have a disability and believe you need a reasonable accommodation to search for a job opening, submit an online application, or participate in an interview/assessment, please email accommodations@ankura.com or call toll-free +1.312-583-2122. This email and phone number are created exclusively to assist disabled job seekers whose disability prevents them from being able to apply online. Only messages left for this purpose will be returned. Messages left for other purposes, such as following up on an application or technical issues unrelated to a disability, will not receive a response.

We are seeking a Senior Data Scientist/Architect to support our customer onsite in Bethesda, MD. This position will work directly with a Chief Data & Artificial Intelligence Officer (CDAO) to support a fast-paced, dynamic enviornment and work closely with a goverment customer and IT developers to validate customer's data and data analytics requirements. Primary Job Duties Establish Data Environments, and serve as the data visualization subject matter expert. Create and translate trend, time-series, and predictive analyses, and facilitate statkeholder decision-making technical exchange meetings. Participate in hands on work on data science for data modeling, design, model training, and implementation to meet enterprise requirements. Establishing the system environment for large data sets, considering aspects such as data capture, storage, extraction, process and analysis. Using data visualization tools to create roadmaps, placemats and process flows; and creatively displaying data to facilitate customer decision-making processes. Applying data wrangling and exploration techniques. Manipulating data to gather insights from large structured and unstructured data sets and developing trend analyses. Developing algorithms to facilitate data analysis, support identification of data errors, and developing pattern analysis from multiple disparate data sources. Providing input on software implementation for analytics. Validating customer requirements and determining feasibility of solutions and alternative options. Contributing to and collaborating on executive-level briefings for the CDAO. Provide excellent organizational, analytical, data science abilities, and compile and organize statistical information retrieved and present findings to management. Strong math, coding and analytical skills are essential to complete job requirements successfully. Qualifications Current TS/SCI with Poly is required. Bachelor’s degree in Computer Science, Computer Engineering, or relevant STEM field. 10+ years of total professional experience in a technical setting; with at least 5 of those years as a Data Scientist, or related role. Ability to implement effective data solutions to ingest, curate, store and retrieve agency mission, business and IC data. Ability to establish a system environment for large data sets, considering aspects such as data capture, storage, extraction, process and analysis. Experience using data visualization tools to create roadmaps, placemats and process flows; and the ability to creatively display data to facilitate customer decision-making processes. Ability to manipulate data from disparate structured and unstructured sources to develop models and other detailed analysis that provide meaningful data insights. Experience with Programming languages like Python, Java, SQL and Cloud technologies. Ability to work in a dynamic and fast-paced mission environment which requires balancing competing priorities and schedules. Desired Skills: Have a depth of experience in data science, to include demonstrated experience with programming languages (e.g. Python, SQL), statistical programs (e.g. R and MS Excel), and data visualization tools (e.g. Tableau, Power BI, QlikView). Data scientist certification from AWS, Google, Microsoft, Oracle, or etc. Demonstrated experience with data modeling tools to include or similar to ER/Studio, Erwin or Lucid Chart. Deep understanding of machine learning and artificial intelligence for logical applications and techniques. Have experience working in Agile and DevOps environments.

Job Description: We are seeking a highly skilled and experienced Senior Data Engineer to join our team. The ideal candidate will have a strong background in data engineering, with a specialization in Matillion, SSIS, Azure DevOps, and ETL processes. This role will involve designing, developing, testing, and deploying ETL jobs, collaborating with cross-functional teams, and ensuring efficient data processing. Key Responsibilities: Design, develop, test, and deploy Matillion ETL jobs in accordance with project requirements. Collaborate with the Data and BI team to understand data integration needs and translate them into Matillion ETL solutions. Create and modify Python code/components in Matillion jobs. Identify opportunities for performance optimization and implement enhancements to ensure efficient data processing. Collaborate with cross-functional teams, including database administrators, data engineers, and business analysts, to ensure seamless integration of ETL processes. Create and maintain comprehensive documentation for Matillion ETL jobs, ensuring knowledge transfer within the team. Create, test, and deploy SQL Server Integration Service (SSIS) packages and schedule them via Active Batch scheduling tool. Create Matillion deployment builds using Azure DevOps CI/CD pipeline and perform release manager activities. Review code of other developers (L2, L3-BI/DI) to ensure code standards and provide approval as part of code review activities. Resolve escalation tickets from the L2 team as part of the on-call schedule. Working knowledge of API and Postman tool is an added advantage. Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. 5+ years of experience in data engineering, with a focus on ETL processes. Proficiency in Matillion, SSIS, Azure DevOps, and ETL. Strong knowledge of SQL, Python, and data integration techniques. Experience with performance optimization and data processing enhancements. Excellent collaboration and communication skills. Ability to work in a fast-paced, dynamic environment. Preferred Skills: Experience with cloud platforms such as AWS or Azure. Knowledge of data warehousing and data modeling. Familiarity with DevOps practices and CI/CD pipelines. Strong problem-solving skills and attention to detail.

Experienced Product Data Management Engineer (Configuration & Data Management) Company: The Boeing Company Boeing Defense, Space & Security (BDS) is seeking an Experienced Product Data Management Engineer (Configuration & Data Management) (Level 3) to support the Systems Engineering Integration & Test (SEIT) Team in Hazelwood, MO . The successful candidate will be responsible for leading the implementation of overall configuration/Data Management processes as well as developing, establishing and executing the CM/DM processes within the DEE. Position Responsibilities Coordinates across the program to assure that CM/DM responsibilities are understood and deliveries are achieved in accordance with program requirements. Leads the development of new and innovative methods and technologies, for change management. Support the change process so that only approved and validated changes are incorporated into product documents and related hardware/software. Prepares configuration management documentation, e.g. CCB meeting/agenda/ minutes. Develops new and innovative approaches aligned with industry best practices for Identification management. Controlling/preparing baselines and preparing material for distribution and release. Responsible for defining and managing the configuration status accounting (CSA) activity. Tracks all problems and changes in product documents and hardware/software and reports changes and current configuration. Ensures proper archiving and audibility of product releases. Managing input and retrieval of data in the configuration management repository. Interfaces with Supplier management to assure CM/DM Supplier Statement of Work (SSOW) and Supplier Data Requirements List (SDRL) requirements are properly flowed to Suppliers. Collaborate with teams in the development, analysis, management and compliance verification of process and product baselines of complex products. Defines, plans, coordinates and conducts product and subsystem level technical design reviews and audits for new and derivative products. Analyzes complex product trades and/or changes and develops technically complete change proposals. Contributes to the development and implementation of Configuration and Data Management standards, processes and tools. Defines and allocates Configuration and Data Management requirements for product hardware, software and engineering design data systems throughout the product lifecycle. Coordinates the integration of product elements and analyzes & resolves issues with engineering product structure. Develops, integrates and implements engineering technical program plans including impacts, risks and incorporation of lessons learned spanning multiple engineering functions. Works under general direction. This position is expected to be 100% onsite. The selected candidate will be required to work onsite. Travel may be required up to 10% of the time; Domestically and/or internationally depending on business needs. This position requires the ability to obtain a U.S. Secret Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required Ability to obtain and maintain Special Access Program (SAP) clearance Basic Qualifications (Required Skills/Experience) Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science 5+ years related work experience or an equivalent combination of technical education and experience Proficient in Product Data Management (PDM) and Bill of Materials(BOM) systems. Preferred Qualifications (Desired Skills/Experience) Demonstrated interest in personal learning and development as well as process improvement. Ability to accomplish tasks through formal channels and informal networks; an understanding of the cultures of organizations and ability to apply this information in a way that strengthens the organization's strategic plan and profitability. Attention to detail. Excellent spoken and written communication across organizations. Experience with Dassault MSOSA, Siemens TeamCenter, Siemens NX, Siemens OpCenter, and SAP S/4HANA Use of scripting to collect data Drug Free Workplace Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. Total Rewards At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. The Boeing 401(k) helps you save for your future, with contributions from Boeing that can help you grow your retirement savings. Our best-in-class retirement benefit features: Best in class 401(k) plan: we'll match your contributions dollar for dollar, up to 10% of eligible pay with Immediate 100% vesting Student Loan Match: The Boeing 401(k) Student Loan Match allows eligible enrolled U.S. employees to have their qualified student loan debt payments counted, along with any match-eligible contributions they make, for purposes of determining the Company Match to employees' Boeing 401(k) accounts. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary pay range: $98,600 - $133,400 Language Requirements: Not Applicable Education: Bachelor's Degree or Equivalent Relocation: This position offers relocation based on candidate eligibility. Export Control Requirement: This position must meet export control compliance requirements. To meet export control compliance requirements, a “U.S. Person” as defined by 22 C.F.R. §120.15 is required. “U.S. Person” includes U.S. Citizen, lawful permanent resident, refugee, or asylee. Safety Sensitive: This is not a Safety Sensitive Position. Security Clearance: This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Top Secret Clearance Post-Start is required. Visa Sponsorship: Employer will not sponsor applicants for employment visa status. Contingent Upon Award Program This position is not contingent upon program award Shift: Shift 1 (United States of America) Stay safe from recruitment fraud! The only way to apply for a position at Boeing is via our Careers website. Learn how to protect yourself from recruitment fraud - Recruitment Fraud Warning Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law. EEO is the law Boeing EEO Policy Request an Accommodation Applicant Privacy Boeing Participates in E – Verify E-Verify (English) E-Verify (Spanish) Right to Work Statement Right to Work (English) Right to Work (Spanish)

FactSet creates flexible, open data and software solutions for over 200,000 investment professionals worldwide, providing instant access to financial data and analytics that investors use to make crucial decisions. At FactSet, our values are the foundation of everything we do. They express how we act and operate, serve as a compass in our decision-making, and play a big role in how we treat each other, our clients, and our communities. We believe that the best ideas can come from anyone, anywhere, at any time, and that curiosity is the key to anticipating our clients' needs and exceeding their expectations. Locations: Boston, Chicago, New York City, Norwalk CT, London Working Environment: Hybrid We are seeking an experienced, strategic leader to join our team as Head of Data Products, Global Deal Data. In this pivotal role, you will own the management and optimization of M&A, Private Equity and Venture Capital data sets including direct accountability for data policy, collection processes and coverage metrics. In a matrix organization across product and operations, the role will be strategically focused on surfacing and monitoring efficiency and scalability of the related collection tools and workflows. Seamless communication with sales to support client-facing opportunities across all data delivery channels. You will also drive revenue growth by equipping our teams with actionable competitive intelligence, directly impacting Annual Subscription Value (ASV) and client acquisition. Responsibilities: Lead global M&A, Private Equity and Venture Capital, ensuring comprehensiveness, accuracy, and efficiency, including the roadmap to improve on agent-led data extraction and curation processes. Product Strategy : Work collaboratively with product and market strategist in Deep Sector, Banking, Private Markets, Wealth and External Delivery products. Develop new content focused on generating revenue and creating a competitive advantage for FactSet. M&A Collection and Product Management: Lead the evaluation, implementation, and ongoing improvement of all deal-related collection tools and data flows across all delivery channels: FactSet Workstation, Data Feeds, APIs and in progress AI-enabled Products. Organizational Alignment & Strategy: Manage and evaluate the team of global data stewards, AGILE product owners and engineers, tied to target state architectural designs. Design and oversee the execution of high-impact data collection strategies aligned to client-led prioritization around deal coverage, Deep Sector Specialization, GP & LP profiling, client SLAs and other related data sets curated within this team. Sales Alignment: Collaborate closely with Sales leadership and individual contributors to field client-facing questions, deliver timely and relevant information, and identify emerging client needs. Prepare and present release notes, strategic roadmaps and client-ready collateral around policy, coverage and timeliness. Participate in client sales calls and training sessions to support growth and showcase FactSet's expertise in M&A / PEVC. Product Alignment: Collaborate with Product Development, Engineering and Integration teams to create a holistic transactions view that supports Banking and other key business units. Assist in the design of Reports, Feeds and Presentation tools to ensure they maximize the impact of the content and best serves the varied types of client workflows. Competitive Analysis: Develop and disseminate robust competitive analysis reporting, including benchmarking, market trends, and acquisition tracking, enabling sales and support teams to better position our products and increase ASV. Stakeholder Management: Act as the subject matter expert for M&A data and competitive intelligence, bridging gaps between Product, Sales, and Client Success teams. Process Optimization: Continuously refine internal processes relating to data sourcing, tool use, and knowledge sharing to maximize value and operational efficiency. Thought Leadership: Represent the company externally at industry events, panels, or in written publications, elevating our reputation as a leader in M&A data and competitive strategy. Qualifications: Bachelor's degree in Business, Finance, Economics, or related field (Master's or MBA preferred). 12+ years of experience in M&A, data collection/analytics, or related roles, with at least 3 years in a leadership position. Demonstrated experience managing data-driven tools/platforms, preferably within financial services, SaaS, or information services environments. In-depth understanding of M&A market dynamics, competitive landscape analysis, and revenue growth levers. Proven track record of driving cross-functional projects and collaborating with Sales, Product, and Client Success teams. Proven communication and presentation skills, with ability to field high-stakes client queries and represent the company at executive levels. Strong project management abilities and comfort with managing multiple deadlines and teams. For U.S. candidates, must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future What's In It For You At FactSet, our people are our greatest asset, and our culture is our biggest competitive advantage. Being a FactSetter means: The opportunity to join an S&P 500 company with over 45 years of sustainable growth powered by the entrepreneurial spirit of a start-up. Support for your total well-being. This includes health, life, and disability insurance, as well as retirement savings plans and a discounted employee stock purchase program, plus paid time off for holidays, family leave, and company-wide wellness days. Flexible work accommodations. We value work/life harmony and offer our employees a range of accommodations to help them achieve success both at work and in their personal lives. A global community dedicated to volunteerism and sustainability, where collaboration is always encouraged, and individuality drives solutions. Career progression planning with dedicated time each month for learning and development. Business Resource Groups open to all employees that serve as a catalyst for connection, growth, and belonging. Learn more about our benefits here. The budgeted amount range for this position in NYC and the State of Connecticut is $140K- 175K Salary is just one component of our compensation package and is based on several factors including but not limited to education, work experience, and certifications. Company Overview: FactSet (NYSE:FDS | NASDAQ:FDS) helps the financial community to see more, think bigger, and work better. Our digital platform and enterprise solutions deliver financial data, analytics, and open technology to more than 8,200 global clients, including over 200,000 individual users. Clients across the buy-side and sell-side, as well as wealth managers, private equity firms, and corporations, achieve more every day with our comprehensive and connected content, flexible next-generation workflow solutions, and client-centric specialized support. As a member of the S&P 500, we are committed to sustainable growth and have been recognized among the Best Places to Work in 2023 by Glassdoor as a Glassdoor Employees' Choice Award winner. Learn more at www.factset.com and follow us on X and LinkedIn. At FactSet, we celebrate difference of thought, experience, and perspective. Qualified applicants will be considered for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, disability, protected veteran status or other characteristics protected by law. FactSet participates in E-Verify

Job Family: Data Science Consulting Travel Required: Up to 25% Clearance Required: Ability to Obtain Public Trust What You Will Do: We are seeking an experienced Data Warehouse Architect to join our growing AI and Data practice, with a dedicated focus on the Federal Civilian Agencies (FCA) market within the Communities, Energy & Infrastructure (CEI) segment. This individual will be a hands-on technical leader, responsible for designing and delivering modern data warehouse solutions that enable federal clients to achieve mission outcomes, operational efficiency, and digital transformation. This is a strategic delivery role for someone who thrives at the intersection of data architecture, cloud platforms, and public sector modernization. The Data Warehouse Architect will collaborate with cross-functional teams and client stakeholders to modernize legacy environments, implement scalable data pipelines, and support advanced analytics initiatives. Client Leadership & Delivery Serve as a trusted technical advisor to FCA clients on data architecture and modernization strategy. Lead engagements from assessment through implementation, ensuring delivery excellence and measurable outcomes. Translate complex business and technical requirements into actionable data warehouse solutions using platforms such as Databricks, Tableau, and Azure/AWS/GCP. Solution Development & Innovation Architect and implement scalable data pipelines and models using Databricks and other modern platforms. Rationalize legacy BI environments and design future-state architectures aligned with client goals. Ensure compliance with federal data governance, security, and performance standards. Practice & Team Leadership Mentor and guide multidisciplinary teams including data engineers, analysts, and consultants. Support recruiting, onboarding, and talent development within the AI & Data practice. Foster a culture of innovation, collaboration, and continuous learning. What You Will Need: US Citizenship is required Bachelor's degree is required. Minimum SEVEN (7) years of experience in data architecture, data engineering, and analytics. Minimum FIVE (5) years of experience delivering data-driven transformation programs. Strong understanding of data platforms including Databricks, Tableau, and cloud environments (Azure, AWS, GCP). Demonstrated experience supporting the business development lifecycle, including capture and proposal activities. Proven track record of leading large-scale data modernization efforts from concept to execution. Ability to collaborate across technical and business audiences, from C-suite to engineering teams. Excellent communication, facilitation, and relationship-building skills. What Would Be Nice To Have: Master's Degree. Certifications in AI/LLM or cloud data platforms. Experience working with FCA clients such as DOT, GSA, USDA, or similar. Familiarity with federal contracting and procurement processes. The annual salary range for this position is $149,000.00-$248,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs. What We Offer: Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits include: Medical, Rx, Dental & Vision Insurance Personal and Family Sick Time & Company Paid Holidays Position may be eligible for a discretionary variable incentive bonus Parental Leave and Adoption Assistance 401(k) Retirement Plan Basic Life & Supplemental Life Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts Short-Term & Long-Term Disability Student Loan PayDown Tuition Reimbursement, Personal Development & Learning Opportunities Skills Development & Certifications Employee Referral Program Corporate Sponsored Events & Community Outreach Emergency Back-Up Childcare Program Mobility Stipend About Guidehouse Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties. Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

About Sprinter Health At Sprinter Health, our mission is reimagining how people access care by bringing it directly to their homes. Nearly 30% of patients in the U.S. skip preventive or chronic care simply because they can't get to a doctor's office. For many, the ER becomes their first touchpoint with the healthcare system-driving over $300B in avoidable costs every year. By using the same technologies that power leading marketplace and last-mile platforms, we deliver care where people are, especially those who need it most. So far, we've supported more than 2 million patients across 22 states, completed 130,000+ in-home visits, and maintained a 92 NPS. Our team of clinicians, technologists, and operators have raised over $125M to date investors like a16z, General Catalyst, GV, and Accel and enjoy multi-year runway. Data is core to how we deliver care, allocate clinicians, and understand population risk-and we're now building the team to scale that impact. About the Role We're hiring a Senior / Staff Data Scientist to tackle high-impact problems across logistics, patient behavior, clinical operations, and population health. This is a 0→1 role where your work directly shapes how care is delivered, optimized, and scaled. You'll turn messy, real-world healthcare data into insights that drive product direction, operational efficiency, and patient outcomes. If you like asking hard questions and using data to solve problems that matter in the real world, this is that opportunity. Office Location We are a hybrid company based in the Bay Area with offices in both San Francisco and Menlo Park. We care about work-life balance and understand that there will be times where flexibility is needed. What you will do Explore clinical, operational, and patient engagement data to surface actionable insights Analyze routing, capacity planning, and supply-demand dynamics across regions Identify drivers of preventive care engagement and patient follow-through Predict cancellations, risk, and future care needs using behavioral and clinical signals Design and evaluate A/B experiments across product, growth, and operations Support internal teams with dashboards, analytics, and ad hoc decisions Help shape the Data function's standards, tooling, and processes as an early leader What you have done 5+ years in data science, advanced analytics, or applied data modeling Worked with large, messy datasets to answer ambiguous, high-stakes questions Built dashboards or visualizations using Looker, Tableau, Grafana, Superset, or similar Written high-quality SQL across warehouses like BigQuery, Snowflake, or Redshift Influenced product, ops, or strategy decisions through data insight and storytelling Presented findings to leadership and collaborated with cross-functional teams What gives you an edge Experience with Python, Pandas, Scikit-learn, or ELK (Elasticsearch + Kibana) Exposure to GCP data tools like BigQuery, DataFlow, or DataForm Familiarity with healthcare data (claims, HL7, CCDAs, HIEs) Experience with logistics, routing, or operational optimization problems Designed or analyzed growth experiments or user behavior funnels Communicated insights to C-level stakeholders or mentored junior talent Our Tech Stack Python SQL Superset, Looker, Tableau, Grafana BigQuery, Snowflake, Redshift Elasticsearch / Kibana FHIR, HL7, claims data (bonus) Pandas, Scikit-learn, DataForm, DataFlow What we offer Meaningful pre-IPO equity Medical, dental, and vision plans 100% paid for you and your dependents Flexible PTO + 10 paid holidays per year 401(k) with match 16-week parental leave policy for birthing parent, 8 weeks for all other parents HSA + FSA contributions Life insurance, plus short and long-term disability coverage Free daily lunch in-office Annual learning stipend $180,000 - $230,000 a year Sprinter Health is an equal opportunity employer. We value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or other protected classes. Beware of recruitment fraud and scams that involve fictitious job descriptions followed by false job offers. If you are applying for a job, you can confirm the legitimacy of a job posting by viewing current open roles here. All legitimate job postings will require an application to be made directly on our official Sprinter Health Careers website. Job-related communications will only be sent from email addresses ending in @sprinterhealth.com. Please ensure that you're only replying to emails that end with @sprinterhealth.com.

At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We're looking for people who are determined to make life better for people around the world. Organizational & Position Overview: The Bioproduct Research and Development (BR&D) organization strives to deliver creative medicines to patients by developing and commercializing insulins, monoclonal antibodies, novel therapeutic proteins, peptides, oligonucleotide therapies, and gene therapy systems. This multidisciplinary group works collaboratively with our discovery and manufacturing colleagues. We are seeking an exceptional Data Scientist with deep data expertise in the pharmaceutical domain to lead the development and delivery of enterprise-scale data products that power AI-driven insights, process optimization, and regulatory compliance. In this role, you'll bridge pharmaceutical sciences with modern data engineering to transform complex CMC, PAT, and analytical data into strategic assets that accelerate drug development and manufacturing excellence. Responsibilities: Data Product Development: Define the roadmap and deliver analysis-ready and AI-ready data products that enable AI/ML applications, PAT systems, near-time analytical testing, and process intelligence across CMC workflows. Data Archetypes & Modern Data Management: Define pharmaceutical-specific data archetypes (process, analytical, quality, CMC submission) and create reusable data models aligned with industry standards (ISA-88, ISA-95, CDISC, eCTD). Modern Data Management for Regulated Environments: Implement data frameworks that ensure 21 CFR Part 11, ALCOA+, and data integrity compliance, while enabling scientific innovation and self-service access. AI/ML-ready Data Products: Build training datasets for lab automation, process optimization, and predictive CQA models, and support generative AI applications for knowledge management and regulatory Q&A. Cross-Functional Leadership: Collaborate with analytical R&D, process development, manufacturing science, quality, and regulatory affairs to standardize data products. Deliverables include: Scalable data integration platform that automates compilation of technical-review-ready and submission-ready data packages with demonstrable quality assurance. Unified CMC data repository supporting current process and analytical method development while enabling future AI/ML applications across R&D and manufacturing Data flow frameworks that enable self-service access while maintaining GxP compliance and audit readiness Comprehensive documentation, standards, and training programs that democratize data access and accelerate product development Basic Requirements: Master's degree in Computer Science, Data Science, Machine Learning, AI, or related technical field 8+ years of product management experience focused on data products, data platforms, or scientific data systems and a strong grasp of modern data architecture patterns (data warehouses, data lakes, real-time streaming) Knowledge of modern data stack technologies (Microsoft Fabric, Databricks, Airflow) and cloud platforms (AWS- S3, RDS, Lambda/Glue, Azure) Demonstrated experience designing data products that support AI/ML workflows and advanced analytics in scientific domains Proficiency with SQL, Python, and data visualization tools Experience with analytical instrumentation and data systems (HPLC/UPLC, spectroscopy, particle characterization, process sensors) Knowledge of pharmaceutical manufacturing processes, including batch and continuous manufacturing, unit operations, and process control Expertise in data modeling for time-series, spectroscopic, chromatographic, and hierarchical batch/lot data Experience with laboratory data management systems (LIMS, ELN, SDMS, CDS) and their integration patterns Additional Preferences Understanding of Design of Experiments (DoE), Quality by Design (QbD), and process validation strategies Experience implementing data mesh architectures in scientific organizations Knowledge of MLOps practices and model deployment in validated environments Familiarity with regulatory submissions (eCTD, CTD) and how analytical data supports marketing applications Experience with CI/CD pipelines (GitHub Actions, CloudFormation) for scientific applications Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form ( https://careers.lilly.com/us/en/workplace-accommodation ) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response. Lilly is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status. Our employee resource groups (ERGs) offer strong support networks for their members and are open to all employees. Our current groups include: Africa, Middle East, Central Asia Network, Black Employees at Lilly, Chinese Culture Network, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinx at Lilly (OLA), PRIDE (LGBTQ+ Allies), Veterans Leadership Network (VLN), Women's Initiative for Leading at Lilly (WILL), enAble (for people with disabilities). Learn more about all of our groups. Actual compensation will depend on a candidate's education, experience, skills, and geographic location. The anticipated wage for this position is $126,000 - $244,200 Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly's compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees. #WeAreLilly