SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
Salary: USD 205,000 - 222,000 / annual
HealthEdge is seeking a Senior Director of Business Intelligence to own the enterprise business intelligence and automation capability that transforms operational data into trusted, actionable decisions across the organization. This is a strategic, business-facing role—not a reporting function. You will set the agenda for what gets measured, what gets automated, and how the business and technology work together to deliver results.
You will operate as a strategic partner to Operations, Product, and Technology leadership, translating business priorities into data and automation requirements while shaping HealthEdge's data strategy from an operational perspective. The role owns the demand side: priorities, requirements, and business outcomes. The underlying data platform, architecture, and engineering remain with the Data & Analytics Platform team in Technology, creating a clear partnership model with distinct accountability.
Key responsibilities include:
- Setting enterprise priorities for operational reporting and dashboards to ensure the business has trusted, decision-ready information
- Leading business intelligence and analytics efforts that surface actionable insight for Operations, Product, and executive stakeholders
- Identifying and driving business process automation opportunities, including AI applications that measurably improve speed, accuracy, or cost
- Translating business needs into clear data and technology requirements for the Platform team and Technology partners
- Influencing HealthEdge's long-term data strategy by bringing operational priorities and real-world business context into platform and architecture planning
- Acting as the primary business-side partner to the Data & Analytics Platform team, owning requirements definition, prioritization, and business validation
- Building and maintaining a prioritized roadmap of reporting, analytics, and automation initiatives based on operational impact
- Representing the business voice in Technology governance and planning forums where data and automation investment decisions are made
Success means Operations, Product, and Technology leaders view this role as their natural first call for "what should we measure or automate next." Reporting and automation priorities are demonstrably tied to operational decisions and outcomes. Business requirements handed to the Platform team are clear and buildable with minimal rework. You will have a visible seat at data strategy planning conversations with operational priorities reflected in the resulting roadmap.
Requirements:
- 12+ years of progressive experience in business intelligence, analytics, or business process transformation, including significant time at enterprise or cross-functional scope
- Demonstrated track record of setting data and automation priorities at an organizational level, not just executing against requirements set by others
- Proven ability to translate ambiguous, cross-functional business problems into clear, buildable data and automation requirements
- Experience operating as a senior peer to a Technology or Data Platform organization—shaping data strategy and priorities without owning engineering or architecture directly
- Strong record of identifying and delivering business process automation at scale, including applying AI/ML in operational contexts
- Executive-level communication and influence skills; credible setting and defending priorities directly with Operations, Product, and Technology leadership
- Healthcare technology, SaaS, or BPaaS industry experience preferred
Preferred qualifications:
- Experience standing up or scaling an enterprise BI/analytics function from a business-owned (rather than Technology-owned) position
- Familiarity with modern data platform concepts (cloud data warehousing, self-service BI tooling, workflow automation platforms) sufficient to write strong requirements, without engineering-level depth
- Experience operating in a post-merger or integration environment where operating models and ownership boundaries are still being established