• Develop and iterate measurement strategies, ensuring alignment with CX frameworks and California performance goals. • Analyze and synthesize quantitative and qualitative data to produce holistic views of performance and impact. • Create clear, actionable data artifacts—such as dashboards, reports, diagrams, and interactive tools—to support strategic planning and decision-making across VA leadership and product teams. • Engage stakeholders and cross-functional teams to understand their information needs, identify data gaps, and co-develop strategies to improve data quality and completeness. • Keep abreast of the latest developments in data science; bring good practices into a constrained technical and policy environment – with a strong commitment to accessibility. • Work with the MO capability teams to advance how human-centered design (HCD) integrates data in strategic storytelling.

Title: Director of Data Science Location: Hartford CT- Home Office Charlotte, NC Chicago, IL Job Description: Dir Data Science - GD06AE We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future. A new role can expand your knowledge, your network, and help you learn more about our business. If you think this opportunity is a fit for your career you should apply. If you are not sure you can have a conversation with your manager. The Hartford is seeking a Director of Data Science to lead the Personal Insurance modeling within the Actuarial Strategic Modeling (ASM) department. This leadership role offers a unique opportunity to drive innovation in predictive modeling, machine learning, and actuarial analytics in either personal auto, or both personal auto and homeowners depending on background. You will manage a high-performing team of data scientists and actuaries, collaborating with cross-functional partners in actuarial, data engineering, and other modeling organizations to deliver modeling solutions that directly impact business strategy. The ASM group is committed to advancing model workflows through scalable systems, and continuous model delivery-and is searching for a leader to guide and shape this innovative direction. Responsibilities: - Lead Personal Insurance Actuarial Modeling: Serve as the model owner for personal insurance predictive models within actuarial, ensuring alignment with ratemaking and business priorities. Partner on strategic vision while managing team capacity and driving timely model deliverables. - Model Development & Deployment: Lead design, maintenance, and deployment of predictive models for frequency, severity, and loss cost estimates, ensuring production readiness and effective integration into actuarial workflows. - Cross-Functional Collaboration: Partner with Actuarial, Data Engineering, and other modeling organization teams to connect modeling initiatives with ratemaking strategies and organizational goals, promoting shared problem-solving. - Innovation: Drive modernization through advanced modeling techniques, machine learning, and AI to enhance efficiency and decision-making. Lead experimentation with new data sources, features, and methodologies to uncover insights and advance strategic objectives. - Operational Excellence: Ensure robust documentation, validation, and governance, along with scalable processes to monitor model performance and maintain reliability. - Talent Development: Mentor and develop team members, fostering a culture of curiosity, ownership, and continuous learning. Support hiring and onboarding, including intern and actuarial student rotations. - Strategic Influence: Participate in enterprise initiatives to ensure personal insurance predictive models are efficiently integrated into core data and system platforms. Qualifications: - 8+ years of relevant analytical experience recommended. - Master's or Ph.D. in Statistics, Applied Mathematics, Quantitative Economics, Actuarial Science, Data Science, Computer Science, or a similar analytical field, or a relevant professional designation (e.g. FCAS, FSA, CSPA, ACAS, ASA)" - Expertise in statistical modeling, inference, and building machine learning algorithms in Python and/or R. - Prior Management Experience - Expertise in the end-to-end modeling lifecycle, from requirements gathering to monitoring and validation. - Experience in SQL and familiarity with cloud-native environments (e.g., Snowflake, Sagemaker). - Able to communicate effectively with both technical and non-technical audiences. - Able to translate complex technical topics into business solutions and strategies as well as turn business requirements into a technical solution - This role can have a Hybrid work arrangement in one of our hub offices. Candidates who live near one of our office locations will have the expectation of working in an office three days a week (Tuesday through Thursday).   Candidates who do not live near an office may be considered for a remote work arrangement with occasional travel. Compensation The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is: $153,200 - $229,800 Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age About Us | Our Culture | What It's Like to Work Here | Perks & Benefits

• Join the Digital Process and Systems Analysis group within Process Development • Provide data infrastructure, platforms, and analytics to support engineering teams across our network • Ensure state-of-the-art data insights to drive innovation and efficiency for the commercialization and optimization of Amgen’s pipeline • Support drug substance development, technology transfer, manufacture, and life-cycle management across Amgen’s global network of manufacturing and development sites • Collaborate as part of a multi-disciplinary team of scientists and engineers • Lead solutions for open-ended challenges, including modeling, data pipelines, and visualizations to support drug substance development, tech transfer, and manufacturing • Contribute to the success of Drug Substance Technology organization by helping to digitize workflows

• Data Management leadership on studies and take responsibility for the development of the project documentation, system set-up, data entry and data validation procedures • Assume responsibility for all DM activities according to client quality expectations • Act as subject matter expert (SME) for DM activities in relationship meetings with Sponsors • Work directly with Sponsors to understand their requirements • Regularly review client specific processes to ensure they remain optimal for Sponsor and Fortrea • Provide guidance, mentoring and training to DM to ensure best working practices are maintained • Lead studies including a combination of healthy volunteer and patient populations • Organize and effectively prioritize workload and deliverables • Be accountable for all DM deliverables as assigned per the established timeline