Senior Director, Data Product and Enablement

At SCP Health, what you do matters

As part of the SCP Health team, you have an opportunity to make a difference. At our core, we work to bring hospitals and healers together in the pursuit of clinical effectiveness. With a portfolio of over 8 million patients, 7500 providers, 30 states, and 400 healthcare facilities, SCP Health is a leader in clinical practice management spanning the entire continuum of care, including emergency medicine, hospital medicine, wellness, telemedicine, intensive care, and ambulatory care.

Why you will love working here:

Strong track record of providing excellent work/life balance.

Comprehensive benefits package and competitive compensation.

- Commitment to fostering an inclusive culture of belonging and empowerment through our core values - collaboration, courage, agility, and respect.

Team Leadership & People Management Lead, mentor, and grow a multi-disciplinary team spanning data acquisition, data engineering, data governance, data product management, and business analysis functions.

Define clear performance goals, career development paths, and succession planning for direct and indirect reports.

Foster a culture of accountability, continuous learning, collaboration, and psychological safety.

Partner with HR and Talent Acquisition to attract and retain top data talent.

Drive organizational design and team structure to scale with evolving business needs.

Data Acquisition & Integration Oversee the ingestion of diverse clinical data sources from EMRs at client facilities.

Develop and maintain a scalable, reliable, and auditable data acquisition framework supporting both real-time and batch pipelines.

Partner with clinical, IT, and vendor teams to negotiate and implement data exchange agreements (HL7, FHIR, EDI, APIs).Own the end-to-end SLA management of clinical data feeds, ensuring accuracy, completeness, and timeliness.

Data Product Management Define and own the data product strategy, establishing a product-oriented operating model that treats curated clinical data assets as reusable, discoverable, and trusted products consumed across analytics, AI/ML, and operational teams.

Build, lead, and grow a Business Analysis team responsible for partnering with clinical, operational, and technology stakeholders to elicit, document, and prioritize data and reporting requirements.

Establish and standardize business analysis practices including use case documentation, business requirements documents (BRDs), functional specifications, user stories, and acceptance criteria to support data product and pipeline delivery.

Ensure BAs serve as the connective tissue between business stakeholders and technical delivery teams — translating clinical and operational needs into clear, actionable data requirements for engineering and product squads.

Lead the design, development, and lifecycle management of clinical data products — ensuring they are well-documented, SLA-backed, and aligned to business and clinical use cases.

Collaborate with clinical, operational, and technology stakeholders to prioritize the data product roadmap based on value, feasibility, and strategic impact.

Establish data product KPIs — including adoption, quality scores, latency, and consumer satisfaction — and drive continuous improvement through feedback loops with internal and external stakeholders.

Data Engineering Lead the architecture and development of modern data pipelines and integration platforms for acquiring clinical data feeds from facilities.

Champion cloud-native, scalable data infrastructure (e.g., Snowflake, AWS, dbt) and modern data stack best practices.

Drive the adoption of Data Ops principles: CI/CD for data pipelines, automated testing, observability, and lineage tracking.

Data Governance & Stewardship Establish and enforce enterprise data governance policies, standards, and frameworks aligned with regulatory requirements (HIPAA, 21 CFR Part 11, GDPR where applicable).Lead data stewardship initiatives including data cataloging, metadata management, data quality rules, and master data management.

Build and chair cross-functional data governance forums to align stakeholders on data definitions, ownership, and usage…