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.
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.
- 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
- 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
About Monogram Health
Monogram Health is a leading multispecialty provider of in-home, evidence-based care for the most complex of patients who have multiple chronic conditions. Monogram Health takes a comprehensive and personalized approach to a person’s health, treating not only a disease, but all of the chronic conditions that are present - such as diabetes, hypertension, chronic kidney disease, heart failure, depression, COPD, and other metabolic disorders.
Monogram Health employs a robust clinical team, leveraging specialists across multiple disciplines including nephrology, cardiology, endocrinology, pulmonology, behavioral health, and palliative care to diagnose and treat health issues; review and prescribe medication; provide guidance, education, and counselling on a patient’s healthcare options; as well as assist with daily needs such as access to food, eating healthy, transportation, financial assistance, and more. Monogram Health is available 24 hours a day, 7 days a week, and on holidays, to support and treat patients in their home.
Monogram Health’s personalized and innovative treatment model is proven to dramatically improve patient outcomes and quality of life while reducing medical costs across the health care continuum.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.
Skills Required
- Bachelor's degree in Information Technology, Computer Science, or Engineering; Master's degree preferred
- Minimum of ten years of experience in data engineering, analytics, data platforms, or data architecture
- Proven leadership experience managing multi-disciplinary data teams
- Expertise in modern cloud data ecosystems such as Databricks, Snowflake, and Delta Lake
- Demonstrated success delivering enterprise-scale data transformations
- Understanding of governance, security, compliance, and high-trust data principles
- Strong communication skills to work effectively with executive-level stakeholders
What We Do
Monogram Health is a leading value-based specialty provider of in-home evidence-based care and benefit management services for patients living with polychronic conditions, including chronic kidney and end-stage renal disease.
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