Assistant Director of Data and Analytics Services

About the role

Join our Cause to create a person-focused and economically sustainable health care system. As a member of the Data & Analytics Services (DAS) team, our Assistant Director of Data & Analytics Engineering leads data engineering teams responsible for building and sustaining enterprise data platforms — supporting analytics, purpose-built data products, and operational reporting across the enterprise.

Qualifications

• Bachelor's degree in Computer Science or related field (or equivalent experience)
• 5 years of combined demonstrated leadership experience in architecture, applications, or account management using current relevant technologies
• 7 years managing business or technology organizations with demonstrated competency in strategic thinking and leadership
• Excellent written and verbal communication skills with ability to interact with a wide range of stakeholders
• Thorough knowledge of finance, budget, and project management principles
• Demonstrated leadership of multi-disciplinary, high-performance teams across the full software development lifecycle
• Experience managing SaaS products and teams may be required

Skills and attributes

• Deep expertise in data engineering, data warehousing, and analytics (OLAP), with solid familiarity in operational reporting and transactional processing (OLTP) requirements
• Hands-on proficiency with modern cloud data platforms (Snowflake strongly preferred), dbt or equivalent ELT tools, SQL/Python stored procedures, and orchestration tools (Airflow/OpenFlow or similar)
• Experience migrating platforms, integrating data, data profiling, performance optimization, and data governance/security/compliance
• Demonstrated success leading full system development lifecycle for data products and analytics solutions in complex enterprise environments, preferably healthcare/payer
• Experience with emerging capabilities such as semantic layers, metadata management, streaming data, DevOps/DataOps, CI/CD for data, and AI/agentic analytics enablement
• Healthcare domain knowledge (Provider Network & Contract Management, Claims, Membership, Pricing, Alternate Payment Models, Shared Savings/Incentive Programs, Care Gap Management) highly desirable
• Demonstrated ability to leverage AI tools and resources to drive efficiency and innovation within area of expertise
• Strong servant leadership qualities with personal agility, innovation, flexibility, and perseverance in a rapidly changing environment
• Able to manage through influence across formal and informal channels to gain alignment and synergy across stakeholders

What You Will Do

• Lead and motivate teams of data engineers and managers to deliver on-time, high-quality, scalable data solutions — defining and communicating success in terms of value delivered to internal customers and business stakeholders
• Partner closely with data modeling, product, data governance, quality assurance, portfolio management, and business teams to design scalable data models and platform artifacts; optimize platform performance through query tuning, compute sizing, workload isolation, and cost management
• Establish and maintain strategic relationships with business leaders across DAS and payer operations — facilitating prioritization, managing to defined service levels, and ensuring data services are effective, efficient, and highly valued
• Drive adoption of modern data practices including semantic layers, metadata management, data observability, and CI/CD for data; champion automation and AI-assisted engineering to reduce manual effort and increase team productivity and impact
• Manage financial responsibilities including budgeting labor and services expenditures, tracking budget status, and presenting business value delivered through data engineering efforts to DAS management and business partners
• Develop risk assessments and transition plans to guide the organization through technological change, ensuring smooth adoption of new tools and practices while balancing multiple priorities across the Data & Analytics Services portfolio

Pay and benefits

Pay ranges vary based on the candidate's work location. The expected hiring range depends on skills, experience, education, and training; relevant licensure / certifications; and performance history. For more details, see the Pay and benefits section.