Sr. Manager, Business Intelligence & Analytics

Datavant is a data collaboration platform focused on healthcare, aiming to enhance the security and accessibility of health data. The Sr. Manager, Business Intelligence & Analytics will develop dashboards and tools to drive business strategies through data visualization and analytics, collaborating closely with various teams to improve operational performance and insights.

Responsibilities:

• Drive Organizational Strategy & Cross-Functional Alignment
• Partner with Analytics, Data Engineering, and Product leadership to define and execute the Business Intelligence & Analytics strategy aligned to company priorities
• Shape organizational direction by framing critical business questions and aligning analytics investments to the highest-impact outcomes
• Influence cross-functional roadmaps to ensure analytics needs are represented in platform and product decisions
• Establish operating models for prioritization, intake, and delivery that enable effective execution across teams
• Set standards for how analytical work informs decision-making, ensuring consistency and alignment across the organization
• Scale Analytical Platforms & Practices
• Own and evolve analytical platforms, data models, and semantic layers that power decision-making across the organization
• Develop and scale reusable data assets and frameworks that improve efficiency, consistency, and trust in data
• Build & Develop High-Performing Teams
• Lead and develop multiple analysts and/or managers, building a high-performing organization with strong technical and business acumen
• Establish clear expectations for performance, growth, and capability development across teams
• Mentor emerging leaders and create pathways for career progression within Business Intelligence & Analytics

Requirements:

• 9+ years of progressive experience with demonstrated leadership in data, Business Intelligence, or analytics roles
• Deep experience leading BI or Analytics functions, with a track record of driving impact across multiple teams or business domains
• Experience establishing and scaling analytical standards, including metrics, data models, and BI solutions
• Strong proficiency in SQL and working knowledge of Python or R, with the ability to guide teams in building scalable analytical solutions
• Experience partnering closely with Data Engineering to shape data models, pipelines, and scalable data infrastructure
• Familiarity with modern BI tools (e.g., Sigma, Tableau, Power BI) and best practices in dashboard design and usability
• Exceptional communication skills, with the ability to translate complex technical concepts into clear, actionable insights for senior leadership
• Proven ability to influence cross-functional stakeholders and drive alignment without direct authority
• Experience managing managers and/or leading multiple teams, with accountability for both delivery and capability development
• Track record of building high-performing teams
• Experience leading organizational change and driving adoption of new tools, processes, or methodologies
• Experience leveraging AI and automation to improve analytical workflows and scalability
• Experience in healthcare, life sciences, or other regulated data environments
• Experience scaling Business Intelligence platforms, including metric standardization, semantic layers, or self-service analytics
• Exposure to data governance, data quality, or metadata management practices in support of scalable analytics