Head of Data – SVP of Data and AI

Monogram Health

. Define and implement a multi-year enterprise data strategy aligned to business, clinical, and technology objectives.

Posted 5/22/2026full-timeRemote • 🇺🇸 United StatesLeadWebsite

Tech Stack

Tools & technologies

Cloud

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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.

Benefits

Comp & perks

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

ATS Keywords

✓ Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data strategydata governancemetadata strategydata qualitydata platform architecturedata orchestrationdata transformationmachine learningAI adoptionenterprise-scale data transformations

Soft Skills

leadershipcommunicationaccountabilityinnovationcontinuous improvement

Certifications

Bachelor’s degreeMaster’s degree