• Defining and evolving the enterprise data strategy aligned to business priorities, digital transformation goals, and the operating model • Driving the design and adoption of enterprise data governance frameworks, including data ownership, stewardship, quality, and standards • Partnering with IT and business leaders to shape scalable data platforms, including cloud, MDM, metadata, and analytics capabilities • Establishing governance forums and executive steering committees to align priorities, manage risk, and ensure value realization • Leading cross-functional change management to embed data-driven decision-making, trusted data usage, and enterprise-wide adoption

• Lead enterprise-wide risk assessments • Design and implement a comprehensive ERM framework • Analyze incident and risk data to identify trends • Partner with executive leadership, legal, finance, and clinical teams • Develop and deliver clear, actionable risk reporting for senior leaders

• Develop and implement comprehensive risk management strategies for clinical trials • Manage day-to-day scientific operations activities, supporting your team to deliver quality outcomes • Lead the identification, assessment, and mitigation of risks associated with clinical trials • Engage with cross-functional teams to develop and refine risk management plans • Monitor and analyze risk metrics to identify trends and propose actionable improvements • Provide training to staff on risk management principles • Build strong relationships with internal and external stakeholders to facilitate communication and collaboration

• Collaborate cross-functionally to enhance visibility, reporting, and decision-making across the organization. • Lead internal analysis and reporting functions by identifying and measuring key KPIs in Sales and Loss Performance. • Manage risk in dealer/group reinsurance relationships by producing timely cession statements. • Assist Accounting team in trust/treasury management of reinsurance accounts. • Pursue external data sources and incorporate into analysis of sales and loss performance. • Analyze claims emergence and behavior across DGW portfolio to identify outliers and opportunities for pricing/coverage enhancements. • Identify and act on opportunities to improve internal data architecture and hygiene.