Head of Data (SVP of Data and AI)

Monogram Health • Remote,

5h

About The Position

Reporting to the Chief Technology Officer, the Head of Data is a senior technology leader accountable for establishing and executing the enterprise data strategy. This role oversees data engineering, analytics, data governance, and enterprise data platforms to ensure high-quality, trusted, and accessible data that enables operational excellence, clinical and financial insights, and scalable AI/ML capabilities. The leader will drive modernization of the data environment, unify reporting models, and build a high-performing data organization aligned to business priorities.

Requirements

• Bachelor’s degree in Information Technology, Computer Science, Engineering; Master’s degree preferred
• Minimum of ten (10) years of experience spanning data engineering, analytics, data platforms, or data architecture.
• Proven leadership experience managing multi-disciplinary data teams.
• Expertise in modern cloud data ecosystems (e.g., Databricks, Snowflake, Delta Lake, modern orchestration).
• Demonstrated success delivering enterprise-scale data transformations.
• Understanding of governance, security, compliance, and high-trust data principles.
• Communication skills and the ability to work effectively with executive-level stakeholders.

Responsibilities

• Define and implement a multi-year enterprise data strategy aligned to business, clinical, and technology objectives.
• Serve as the executive owner for data platforms, data governance, metadata strategy, and enterprise data quality.
• Oversee modern, scalable data platform architecture (e.g., ingestion, transformation, consumption layers).
• Modernize workloads using platforms such as Databricks and improve data orchestration, monitoring, observability, and automation.
• Ensure standardized, business-ready “gold‑layer” datasets to support analytics and data science.
• Consolidate enterprise reporting under a unified model with consistent definitions, governed metrics, and repeatable processes.
• Partner with business leaders to deliver actionable analytics insights tied to operational, clinical, and financial KPIs.
• Maximize performance, consistency, and usability of dashboards and analytical assets.
• Establish and lead a data governance framework covering quality, lineage, security, and stewardship.
• Ensure compliance with regulatory, privacy, and security standards, including evolving AI-related governance expectations.
• Provide platforms, standards, and data quality foundations required for scalable, trustworthy machine‑learning and AI adoption.
• Partner with Data Science leadership to ensure strong alignment on data needs and lifecycle processes.
• Build and develop a high-performing team across data engineering, analytics, governance, and architecture.
• Foster a culture of accountability, innovation, and continuous improvement.
• Provide clear operating models for how data teams partner with technology and business units.

Benefits

• Comprehensive Benefits - Medical, dental, and vision insurance, employee assistance program, employer-paid and voluntary life insurance, disability insurance, plus health and flexible spending accounts
• Financial & Retirement Support – Competitive compensation, 401k with employer match, and financial wellness resources
• Time Off & Leave – Paid holidays, flexible vacation time/PSSL, and paid parental leave
• Wellness & Growth – Work life assistance resources, physical wellness perks, mental health support, employee referral program, and BenefitHub for employee discounts

What This Job Offers

• Job Type: Full-time
• Career Level: Executive