• Own vision & strategy for Client Reporting - Define a clear, long-term strategy for dashboards, reports, and analytical interfaces used by our customers. • Lead the Reporting product area - Manage priorities, roadmap, and backlog for reporting functionality, balancing customer needs, business goals, and technical constraints. • Drive discovery with customers - Speak regularly with customers in English, deeply understand their workflows and reporting needs, run interviews, demos, and feedback sessions. • Collaborate with data & engineering teams - Work closely with the Data, ML, Analytics and engineering teams to align product opportunities with data and platform capabilities. • Ensure execution and quality - Make sure dashboards and reports are understandable, accurate, reliable, and actually used by customers, not just shipped as features. • Define and track product metrics - Define and monitor key product metrics (adoption, usage, retention, NPS, impact on customer outcomes) and use them to guide decisions. • Develop and support the team - Mentor team members (POs, analysts, designers), raising the bar for product thinking and quality across the reporting area.

• Help our AI product team define the vision, strategy, and roadmap for data science and modeling across the company. • Build and manage a team’s backlog, directing product lifecycles from concept through deployment and enhancements. • Help team break large initiatives down into functional - but incremental - release milestones. • Define business cases and success metrics to drive effective backlog prioritization and track team’s measurable impact toward roadmap goals. • Partner with data scientists to validate, test, and monitor models for performance, fairness, and business impact. • Ensure the scalable deployment of models into production environments. • Understand when AI tooling and agentic workflows are appropriate to power features. • Act as the primary liaison between data science, engineering, product, and executive stakeholders for your team’s deliverables. • Collaborate with data scientists and internal team stakeholders to ensure clarity of goals, resourcing, and technical feasibility. • Setup your team’s releases for success: by training employees to use and navigate new products adeptly, and by directing marketing and release content to promote value and expand adoption rates of new features. • Conduct research with internal and external stakeholders to understand decision-making workflows and data-driven opportunities. • Monitor industry trends, modeling techniques, and competitor approaches to ensure a leading-edge data science strategy. • Use insights from model performance and business impact to refine the ai & data science roadmap.

• Plan, define and prioritize the product backlog and product roadmap • Clarify requirements and make timely decisions on execution details • Work with stakeholders to evaluate best the approach when solving business problems • Maintain development and production environments and properly deploy changes • Establish timelines and product benchmarks, holds team accountable to deadlines • Conduct daily standup meetings with Development team • Coach developers to achieve high performance

• Lead overall strategy, goals, and objectives for MedImpact’s Laker Adjudication Platform • Drive initiatives with the product management team and IT • Create, maintain, and execute product strategic vision and roadmap • Lead creation and support of key adjudication products from inception to execution • Ensure products and services meet operational excellence criteria and support revenue goals • Collaborate with business and technical stakeholders to prioritize product features • Interface with various company areas such as IT, Sales & Marketing, and Operations