Manager, Data Program Management

HEALTHEQUITY, INC.

DRAPER, UT

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JOB DETAILS

SKILLS

Access Control, Agile Programming Methodologies, Artificial Intelligence (AI), Business Strategy, Cadence, Capacity Management, Capacity Strategy, Coaching, Continuous Improvement, Corrective Action, Cross-Functional, Data Analysis, Data Management, Data Modeling, Data Quality, Data Science, Data Sets, Disciplinary Action, Documentation, Establish Priorities, Healthcare, Information/Data Security (InfoSec), Lead Generation, Legal, Machine Tool, Performance Management, Privacy Controls, Program Planning, Project/Program Management, RAID Storage, Regulations, Reporting Dashboards, Risk, Risk Analysis, Risk Management, Time Management, Training Data Sets, Waterfall Model of Software Development

LOCATION

DRAPER, UT

POSTED

Today

Manager, Data Program Management Job Locations US-Remote Our Mission Our mission is to SAVE AND IMPROVE LIVES BY EMPOWERING HEALTHCARE CONSUMERS. Come be part of remarkable. Overview How you can make a difference The Manager, Data Program Management leads delivery of the enterprise Data and Analytics portfolio and scales execution through a small team of program/project managers and/or Product Owners. Reporting to the Chief Data Officer, this role is accountable for predictable delivery, stakeholder alignment, and governance of complex crossfunctional initiatives-especially in a regulated FinTech environment where controls, audit readiness, privacy, and risk management are essential. This leader ensures the CDO strategy translates into sequenced roadmaps, funded programs, integrated plans, managed dependencies, and measurable outcomes across core priorities including data quality, governance, and AI/ML enablement. The Manager Data Program Management reports to the Chief Data Officer. What you'll be doing Manages and carries out the personnel actions for direct reports, including but not limited to hiring and scheduling; training and evaluating; coaching and managing performance; making salary, merit, or other compensation recommendations for team of direct reports; and making recommendations and/or taking corrective or disciplinary action as appropriate. * Own and drive execution of the enterprise data portfolio (multiple concurrent initiatives spanning platform, quality, governance, analytics, and AI/ML enablement). * Develop and maintain multi year roadmaps, annual plans, and quarterly execution commitments aligned to business strategy and capacity. * Establish clear program charters, scope, milestones, dependencies, and outcome measures; ensure delivery accountability across teams, including ensuring traceable documentation and audit ready evidence across Tier 1 initiatives (charters, requirements, approvals, decision logs, control evidence). * Identify delivery risk early; remove blockers, drive decisions, and ensure timely escalations with recommended options/tradeoffs. * Track and report program health (status, milestones, risks, dependencies, financials as applicable) to the CDO and executive stakeholders. * Embed governance and controls into delivery processes (privacy, security, retention, access controls, lineage, approvals, audit artifacts), partnering with Risk, Compliance, InfoSec, Legal, and Data Governance teams to ensure programs meet regulatory and internal control requirements. * Establish and continuously improve the data delivery operating model: intake, prioritization, planning, cadence, and reporting and improve portfolio transparency and predictability through capacity planning, dependency management, and clear governance forums. * Standardize program rituals and tooling (RAID logs, integrated plans, steering committees, decision logs, dashboards) and drive consistent delivery practices across agile, hybrid, and waterfall initiatives. * Lead program delivery and cross functional coordination of AI/ML enabling data initiatives, ensuring data readiness for model development, deployment, and scaling, partnering closely with Data Science, Data Engineering, Platform, Product, Risk, and Compliance to align AI/ML initiatives to enterprise and regulatory expectations. * Own execution of AI/ML foundational programs such as training data pipelines, curated model ready datasets, data labeling/annotation initiatives, feature store enablement, and model monitoring foundations (as applicable) and ensure AI/ML initiatives are appropriately sequenced within the broader data portfolio, balan cing innovation, quality, and risk. * Establish and operationalize a repeatable AI/ML enablement playbook (intake data readiness delivery phases... For full info follow application link.

About the Company

HEALTHEQUITY, INC.

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