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[Remote] Manager, Data Program Management

Remote · USA Full-time New today

Note: The job is a remote job and is open to candidates in USA. HealthEquity is dedicated to saving and improving lives by empowering healthcare consumers. The Manager, Data Program Management will lead the delivery of the enterprise Data & Analytics portfolio, ensuring stakeholder alignment and governance of complex initiatives in a regulated FinTech environment.

Responsibilities

  • 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, balancing innovation, quality, and risk
  • Establish and operationalize a repeatable AI/ML enablement playbook (intake → data readiness → delivery phases → controls/gates → launch readiness)
  • Serve as a strategic execution partner to the CDO; translate strategy into actionable plans and measurable outcomes and facilitating alignment across data, technology, and business leaders; drive decisions when priorities compete
  • Occasional travel to attend training or meetings may be required

Skills

  • Bachelor's degree in Business, Computer Science, Engineering, or related discipline or equivalent experience
  • 8+ years of program/portfolio management experience delivering complex cross functional initiatives
  • 3+ years of direct people management experience (performance management, coaching, hiring support)
  • Demonstrated experience delivering data, analytics, or platform programs in regulated or high risk environments
  • Strong executive communication skills and ability to influence
  • Experience in FinTech, Financial Services, or similarly regulated industries
  • Familiarity with data governance, data quality, metadata/lineage, and controls-based operating models
  • Experience enabling AI/ML delivery through data foundations (model ready datasets, feature stores, MRM/Responsible AI concepts)
  • Experience with cloud data ecosystems (e.g., modern data platforms, orchestration, BI/semantic layers)
  • Experience mentoring and enabling program/project managers and/or Product Owners to lead AI/ML initiatives effectively amid ambiguity, rapid iteration cycles, and complex dependencies
  • PMP/PgMP/SAFe/Agile certifications preferred

Benefits

  • Performance-based incentives as part of the total compensation package
  • Medical, dental, and vision
  • HSA contribution and match
  • Dependent care FSA match
  • Uncapped paid time off
  • Paid parental leave
  • 401(k) match
  • Personal and healthcare financial literacy programs
  • Ongoing education& tuition assistance
  • Gym and fitness reimbursement
  • Wellness program incentives
  • HealthEquity covers all required travel and accommodations
  • HealthEquity is committed to providing reasonable accommodations to team members with qualifying disabilities

Company Overview

  • HealthEquity connects health and wealth by administering Health Savings Accounts (HSAs) and other consumer-directed benefits. It was founded in 2002, and is headquartered in Draper, Utah, USA, with a workforce of 1001-5000 employees. Its website is http://www.healthequity.com.
  • Company H1B Sponsorship

  • HealthEquity has a track record of offering H1B sponsorships, with 7 in 2026, 15 in 2025, 8 in 2024, 31 in 2023, 3 in 2022, 1 in 2021, 2 in 2020. Please note that this does not guarantee sponsorship for this specific role.
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