VP Data Science
Company: Monogram Health
Location: Brentwood
Posted on: April 1, 2026
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Job Description:
Position: Vice President, Data Science Reporting to the Chief
Technology Officer, the Vice President of Data Science is a senior
technology leader responsible for defining and executing the
organization’s data science and AI strategy. This leader transforms
data into actionable insights, drives AI/ML innovation, and
partners with operational leadership to influence product
direction, operational excellence, and business outcomes. The VP of
Data Science builds and leads high-performing teams, establishes
scalable data science practices, and ensures models and insights
are delivered ethically, reliably, and with measurable business
impact. Responsibilities Strategic Leadership Define and own the
enterprise data science vision, roadmap, and operating model
aligned with company strategy. Translate business priorities into
high-impact analytics, AI, and machine learning initiatives. Serve
as an executive advisor on data-driven decision-making, AI
adoption, and emerging technologies. Establish success metrics and
ROI measurement for data science initiatives. Organization
Leadership Build, mentor, and scale a diverse, high-performing
organization of data scientists and ML engineers. Set clear
expectations, career paths, and performance standards. Foster a
culture of curiosity, rigor, and collaboration. Create an
environment where teams are empowered, accountable, and closely
connected to the business. Delivery AI and Machine Learning Oversee
the design, development, deployment, and lifecycle management of
predictive and prescriptive models. Ensure solutions are
production-grade, integrated into applications and workflows, and
supported by strong MLOps practices. Partner with engineering teams
to embed models into clinical and operational systems. Establish
governance, validation, and monitoring processes consistent with
HIPAA and HITRUST requirements. Hands-On Technical Leadership
Maintain a hands-on approach to data science and AI, including the
ability to write, review, and guide code in modern data science and
machine learning stacks. Stay close to the work by participating in
model design, experimentation, and technical
decision-making—especially for high-impact or clinically sensitive
use cases. Provide technical leadership and mentorship by reviewing
approaches, validating assumptions, and ensuring analytical rigor
and model quality. Partner with data scientists and ML
practitioners to unblock complex problems and set technical
direction, without micromanaging execution. Serve as a credible
technical voice with Data Engineering and Application Development
teams on architecture, model deployment, and MLOps practices.
Balance hands-on contribution with executive leadership, ensuring
the organization benefits from both technical depth and strategic
oversight. Lead by example in adopting best practices in machine
learning, responsible AI, model explainability, and production
readiness in a HIPAA-regulated environment consistent with the
HITRUST framework. Cross-Functional Partnerships Work closely with
Data Engineering to ensure data quality, availability, and
scalability. Collaborate with Application Development to embed
analytics and models directly into workflows and products. Align on
architecture, tooling, and MLOps practices that support both
innovation and operational excellence. What Success Looks Like Data
science solutions are embedded into daily clinical and operational
workflows, not siloed. Operation leaders and clinicians trust and
rely on ML/AI to guide decisions. Models and insights are delivered
quickly, responsibly, and with clear ROI. Data science is seen as a
strategic partner, not a support function Position Requirements
Bachelor’s degree in a quantitative field (Computer Science,
Statistics, Mathematics, Engineering, or similar). 10 years of
experience in data science, analytics, machine learning, or applied
AI, with 3 years in senior leadership roles. Proven track record of
delivering data science solutions with clear business impact at
scale. Deep expertise in statistical modeling, machine learning,
and experimental design. Experience operationalizing models in
production environments. Demonstrated success delivering ML or
advanced analytics solutions in healthcare. Strong executive
communication and stakeholder-management skills. 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.
Keywords: Monogram Health, Murfreesboro , VP Data Science, IT / Software / Systems , Brentwood, Tennessee
