• Interact with product managers and software developers to gather requirements; • Coordinate with the software engineering team on data collection, cleaning, and usage for internal projects; • Analyze business outcomes or design and manage new studies; • Transform data into formats more suitable for analysis; • Explore large public regulatory datasets to extract actionable insights; • Oversee and design multiple proofs of concept for predictive/prescriptive or AI projects; • Apply machine learning techniques to build predictive models; • Create reports and presentations for business stakeholders; • Correlate related datasets to identify actionable outcomes;

• Leverage data-driven insights to guide strategic planning and operational improvements. • Manage and mentor a team of data scientists and actuarial analytic professionals, fostering a culture of innovation, collaboration, and continuous improvement. • Serve as the enterprise-wide Product Owner for Akur8, ensuring optimal usage and alignment with business goals. • Develop and maintain predictive modeling policies, procedures, and governance frameworks. • Drive the creation of Akur8-ready datasets from AAIS databases and ensure data integrity and readiness for modeling. • Lead cross-functional project teams as a Project Sponsor, ensuring alignment, communication, and delivery of key milestones. • Collaborate with actuarial, product, and regulatory teams to develop filing materials and support state filings for Akur8 use-cases. • Translate complex data into clear, actionable business recommendations for senior leadership. • Champion the use of advanced analytics tools and methodologies to support pricing and underwriting decisions. • Represent AAIS in industry forums and contribute to thought leadership in predictive modeling and pricing strategy. • Perform additional duties as assigned or requested. • Manage a Team Lead, coach, and develop a team to deliver high performance and support individual growth. • Set clear goals and expectations, monitor progress, and provide regular feedback. • Foster a positive, inclusive, and accountable team culture. • Manage day-to-day operations, ensure alignment with department objectives, and remove barriers to performance. • Support resource planning, workload distribution, and prioritization of tasks. • Facilitate regular team meetings, one-on-one check-ins, and performance conversations. • Identify and address performance issues in a timely and constructive manner. • Partner with Human Resources on talent-related matters such as hiring, onboarding, development, employee relations, and performance management. • Encourage collaboration, knowledge sharing, and continuous improvement within the team. • Represent the team’s needs and perspectives in cross-functional discussions. • Ensure compliance with company policies, procedures, and quality standards.

• Ensure the accurate, complete, and timely collection, management, and delivery of assay/genomic and clinical data • Act as Lead Data Manager on simple clinical studies and projects • Specify, configure, and maintain clinical study databases and related tools • Maintain knowledge and understanding of current team, department, and corporate goals and priorities • Train others on basic company processes, procedures, and guidelines • Prepare and maintain basic data management documentation • Interact with Exact Sciences study team members, collaborators, vendors, or partners • Mentor coworkers as requested

• Write production code in Python. • Design, launch, and analyze experiments to optimize ad campaigns. • Create reporting and analytics tools for the Data Science Team's customers. • Translate insights from reporting tools into tvScientific's Data Science Product.