Data Labeler Jobs in Oregon (NOW HIRING)

Our mission is to SAVE AND IMPROVE LIVES BY EMPOWERING HEALTHCARE CONSUMERS. Come be part of remarkable.

How you can make a difference  

The Manager, Data Program Management leads delivery of the enterprise Data & 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, 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

What you will need to be successful

• Bachelor's degree in Business, Computer Science, Engineering, or related discipline or equivalent experience.
• PMP/PgMP/SAFe/Agile certifications preferred
• 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.

#LI-Remote

This is a remote position.

The actual compensation offer is determined based on job-related knowledge, education, skills, experience, and work location. This position will be eligible for performance-based incentives as part of the total compensation package, in addition to a full range of benefits including:   

• 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 
•  

Onboarding & Travel 

This is a remote role, with an in-person onboarding training component. New team members must participate in Trailhead, HealthEquity's immersive onboarding experience Trailhead is designed to foster meaningful connections, support your integration into the organization, and equip you with a strong understanding of our business. Trailhead participation is a key expectation of this role. Trailhead is held onsite at our headquarters once per quarter. HealthEquity covers all required travel and accommodations.  

This role may begin with a virtual, self-paced onboarding experience, followed by a mandatory onsite Trailhead session at a later date. 

HealthEquity is committed to providing reasonable accommodations to team members with qualifying disabilities. Should you be selected for this role and require an accommodation, we will put you in touch with our Benefits Team so you can begin the accommodation request process. 

HealthEquity has a vision that by2030 we will make HSAs as wide-spread and popular as retirement accounts. We are passionate about providing a solution that allows American families to connect health and wealth. Join us and discover a work experience where the person is valued more than the position. Click here to learn more. 

You belong at HealthEquity!

HealthEquity, Inc. is an equal opportunity employer, and we are committed to being an employer where no matter your background or identity - you feel welcome and included. We ensure equal opportunity for all applicants and employees without regard to race, age, color, religion, sex, sexual orientation, gender identity, national origin, status as a qualified individual with a disability, veteran status, or other legally protected characteristics. HealthEquity is a drug-free workplace. For more information about our EEO policy, or about HealthEquity's applicant disability accommodation, drug-free-workplace, background check, and E-Verify policies, please visit our Careers page.

HealthEquity uses Microsoft Copilot to transcribe screening interviews between candidates and their direct Talent Partner for note taking and interview summaries. By scheduling a screening interview with us, you consent to Microsoft Copilot's AI technology recording and transcribing your interview with your Talent Partner. This information will be reviewed for accuracy and then used by HealthEquity to summarize the interview, ensure accuracy, and facilitate our hiring process. We take privacy seriously. You have the option to opt out. If you wish to opt out of this Microsoft Copilot transcription, please notify your Talent Partner in advance of the interview. If we do not receive an opt-out request from you, we will assume that you consent to the use of Microsoft Copilot.

At HealthEquity, our goal is to save and improve lives by empowering healthcare consumers. This shared purpose inspires everything we do, including how we approach hiring. Our process is designed to get to know the real you: your skills, experiences, and potential to make a difference. We value honesty, originality, and the courage to do the right thing, even when it is not the easiest path. Showing up as your authentic self reflects these values and helps us build something truly remarkable together.

As AI is becoming a common tool throughout the application process, we want to be clear about its appropriate use at HealthEquity. Using AI to support resume writing, research, or interview preparation is perfectly acceptable, provided the content is accurate and genuinely represents your qualifications and skills.  For other key parts of our interview process, however, it is important that the ideas, communication, and work you share reflect your own voice, experiences, and thinking. We ask that you participate in our live interviews and complete any assessments without AI assistance unless instructions explicitly indicate otherwise or a specific exception is discussed and approved in advance. This approach ensures fairness, celebrates your individuality, and allows your authentic perspective to shine. Behaviors that do not align with these guidelines may result in disqualification from the hiring process or termination of employment if later discovered. We appreciate your understanding and look forward to learning about the unique contributions only you can bring to HealthEquity.

HealthEquity is committed to your privacy as an applicant for employment.  For information on our privacy policies and practices, please visit HealthEquity Privacy.