Director/Sr. Director of Revenue Operations
Listed on 2026-06-19
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IT/Tech
Business Systems/ Tech Analyst, Data Analyst, Data Science Manager
Director/Sr. Director of Revenue Operations
The Health Management Academy (THMA) brings together health system leaders and innovators to collectively address the industry’s biggest challenges and opportunities. By assisting executives in cultivating peer networks, understanding key strategic trends, establishing pragmatic partnerships, and developing next-generation leaders, our members are better positioned to lead industry transformation.
The Health Management Academy offers a dynamic atmosphere with significant opportunities for employees. If you are interested in contributing to a member‑centric, creative, and collaborative workforce while deeply influencing top leaders and institutions in healthcare, THMA could be the right place for you!
Position Summary
The Director/Senior Director of Revenue Operations, Intelligence & GTM Systems is a transformation‑focused leader responsible for building the analytical and technological foundation that drives THMA’s go‑to‑market performance and revenue growth. Operating at the intersection of data science, data strategy, and GTM technology, this role designs models, systems, and frameworks that translate data into strategic business decisions.
Partnering closely with the Revenue Operations team, Sales & Marketing Leadership, IT, and Salesforce teams, this leader will reduce system sprawl, unify data into a single source of truth, and deliver tools that enhance prospecting, pipeline generation, and sales execution.
This role is ideal for a leader with scale‑up experience in SaaS or PE‑backed environments under $100M ARR, where building GTM functions from the ground up requires both operational rigor and creative problem‑solving. The Director combines hands‑on analytical expertise with a systems mindset, ensuring THMA’s revenue organization operates with clarity, precision, and scalability, while serving as a trusted partner to executive stakeholders.
Primary Job Duties
- Define and own THMA’s revenue data strategy in partnership with IT, ensuring data from Salesforce, marketing systems, and financial tools flows accurately into the data warehouse (Snowflake, Redshift, or equivalent).
- Lead data modeling in an effort to establish our source of truth against initiatives such as forecasting, attribution, and top of funnel analytics.
- Partner with IT’s Data Integration Engineer on ETL workflows, governance, and data quality.
- Ensure documentation, scalability, and integrity across all Rev Ops systems.
- Data Science, Analytics & Modeling
- Develop predictive and prescriptive models for pipeline health, conversion rates, and revenue growth.
- Use SQL, Python, and BI tools (Power BI, Tableau, etc.) to analyze and visualize data.
- Deliver executive dashboards and scorecards that provide a unified view of GTM performance.
- Translate data insights into actionable recommendations that inform strategy and drive results.
- GTM Systems Ownership
- Own and optimize THMA’s GTM technology stack (Outreach, Gong, enrichment and attribution tools).
- Rationalize and integrate tools to reduce redundancy and improve automation and visibility.
- Lead vendor evaluations, ROI analyses, and security reviews for new GTM investments.
- Partner with IT to ensure integrations are secure, documented, and aligned with governance standards.
- Build tools and insights that enable sales teams to manage pipeline, prospect, and report from a single source of truth.
- Collaborate with Sales Leadership to align tools, workflows, and reporting with go‑to‑market priorities.
- Design playbooks, training, and change management programs to drive adoption and measurable impact.
- Strategic Planning & Collaboration
- Partner with Marketing, Sales, Partnerships, and Finance to define and track key revenue KPIs.
- Design processes and dashboards that turn data into actionable strategy.
- Serve as the liaison between GTM, IT, and Data Engineering teams to align architecture with business priorities.
- Champion data literacy and cross‑functional enablement across THMA.
- Research and evaluate emerging AI‑driven GTM platforms, automation tools, and data technologies.
- Pilot and implement innovative solutions that improve prospecting efficiency, data quality, and…
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