Capital Blue Cross is looking to solve complex analytics initiatives, shape the strategic direction of data science across the organization, and translate ambiguous business needs into structured analytic projects and measurable outcomes.
Requirements
- Recognized expert in quantitative methodologies, advanced statistical modeling, and machine learning, capable of solving the organization’s most complex problems.
- Demonstrated ability to translate ambiguous business needs into structured, actionable analytic projects.
- Expert-level proficiency in advanced statistical modeling, machine learning, and experimental design, with the ability to select and implement appropriate techniques for complex, ambiguous problems.
- Deep understanding of data architecture, systems design, and technical standards for scalable analytics.
- Proficiency in data visualization and BI tool development (e.g. Power BI, Tableau)
- 7 plus years of progressive experience in data science or advanced analytics, with demonstrated enterprise-level impact.
- Proven experience in innovation, vendor evaluation, and analytics strategy.
Responsibilities
- Lead the design and execution of the organization’s most complex and high-impact analytics initiatives, personally contributing to hands-on modeling and solution development.
- Translate ambiguous, enterprise-level business challenges into actionable projects and quantitative frameworks.
- Define team-wide technical standards, modeling practices, and architectural guidelines to ensure scalability and consistency.
- Partner with executives and senior stakeholders to shape the analytics roadmap and influence enterprise decision-making.
- Evaluate and introduce emerging methods, tools, and vendor solutions to expand team capabilities.
- Measure and communicate the impact of analytics initiatives through ROI and strategic outcome reporting.
- Mentor and develop DS1 and DS2 team members, fostering growth in both technical expertise and problem-solving skills.
Other
- Strong domain knowledge with the ability to shape enterprise strategy and influence senior leadership.
- Exceptional communication and executive storytelling skills, including presenting complex concepts to non-technical audiences
- Demonstrated success mentoring and developing other data science professionals at all levels.
- Experience driving team-wide standards for modeling, architecture, and technical excellence.
- Strong healthcare domain knowledge with experience shaping strategies around claims processing, provider networks, and population health management.
