Director, Data Analytics

About the role

The Director, Enterprise Data and Analytics will own the vision, strategy, and multi-year roadmap for enterprise data and analytics, aligned to business priorities and executive objectives. They will partner with data engineering and analytics engineering to design and deliver a medallion data architecture (bronze, silver, and gold layers) on the enterprise data lake—from raw ingestion through curated, decision-ready datasets. They will establish and govern an enterprise data catalog with clearly documented data definitions, lineage, and other metadata to create a single source of truth.

Responsibilities

• Own the vision, strategy and multi-year roadmap for enterprise data and analytics, aligned to business priorities and executive objectives.
• Partner with data engineering and analytics engineering to design and deliver a medallion data architecture (bronze, silver, and gold layers) on the enterprise data lake—from raw ingestion through curated, decision-ready datasets.
• Establish and govern an enterprise data catalog with clearly documented data definitions, lineage, and other metadata to create a single source of truth.
• Be accountable for delivery against committed milestones, advancing the platform through phased proof-of-concept, pilot, and production releases.
• Build, lead, and grow a high-performing team of data engineers, analytics engineers, and analysts, including hiring, coaching, and performance management.
• Represent enterprise data and analytics to senior stakeholders and executive sponsors, communicating strategy, trade-offs, and progress with clarity and credibility.
• Establish the operating model, standards, and ways of working for enterprise reporting— from intake and prioritization through delivery and ongoing support.
• Define the self-service analytics and reporting experience so stakeholders across the company can reliably answer their own questions through governed dashboards.
• Set and enforce standards for data quality, lineage, documentation, and access—including role-based access control (RBAC)—in partnership with engineering and security.
• Serve as a central authority and resource for business intelligence and reporting teams, providing support and guidance as necessary.
• Develop and maintain analytical models that support leadership decisions including go-to-market, account management, staff allocation, and more.
• Partner with leaders across product, finance, operations, and technology to align priorities and resolve competing demands.

Requirements

• 8+ years of experience in data, analytics, business intelligence, or reporting, including 3+ years leading and growing teams.
• Bachelor's degree in Analytics, Statistics, Data Science, Computer Science, Business, or a similar technical, quantitative, or analytical field; advanced degree a plus, or equivalent practical experience.
• A track record of building and delivering enterprise-scale reporting or analytics capabilities using a modern data stack.
• Experience establishing metrics and KPIs, data governance, quality, and documentation practices at scale.
• Proven ability to set strategy and translate ambiguous business needs into a clear, prioritized plan and operating model.
• Demonstrated people leadership—hiring, developing, and retaining data and analytics talent and setting direction for a team.
• Excellent executive communication skills, with the presence to lead the platform and the ability to translate complex, data-heavy topics into clear, actionable insights for senior audiences.
• Experience managing delivery across multiple concurrent workstreams in a dynamic environment.
• Strong technical depth: a solid understanding of data modeling (including dimensional and layered/medallion architectures) and the ability to engage credibly with engineers on architecture and design trade-offs.
• Strong analytical and quantitative skills, including hands-on financial or business modeling, with the ability to turn data into strategic recommendations.

Qualifications

• Experience in healthcare payer technology, health plan operations, or healthcare SaaS.
• Familiarity with payer data domains such as claims, enrollment, provider data, and care management.
• Proficiency in SQL.
• Experience designing role-based access control (RBAC) and data access governance for sensitive or regulated data.

Skills

• Strong technical depth: a solid understanding of data modeling (including dimensional and layered/medallion architectures) and the ability to engage credibly with engineers on architecture and design trade-offs.
• Strong analytical and quantitative skills, including hands-on financial or business modeling, with the ability to turn data into strategic recommendations.

Benefits

HealthEdge offers a comprehensive benefits package including medical, dental, vision, life insurance, disability coverage, and a 401(k) retirement savings plan. Additional perks include flexible spending accounts, commuter benefits, and wellness programs.

Pay

The annual US base salary range for this position is $192,000 to $213,000. This salary range may cover multiple career levels at HealthEdge. Final compensation will be determined during the interview process and is based on a combination of factors including, but not limited to, your skills, experience, qualifications, and education.

Schedule

The position is primarily remote or hybrid, working across multiple time zones, with occasional travel. Standard office physical demands apply, including the ability to operate a computer and communicate with colleagues.