Aya Healthcare

Technical Program Manager – AI/ML, Data Platforms

Aya Healthcare

full-time

Posted on:

Location Type: Remote

Location: Remote • 🇺🇸 United States

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Salary

💰 $170,000 - $185,000 per year

Job Level

SeniorLead

Tech Stack

CloudDistributed Systems

About the role

  • Program Leadership: Lead and drive the execution of complex AI and data platform programs from concept through delivery, ensuring alignment with business objectives, timelines, and budgets.
  • Stakeholder Management: Engage with cross-functional teams including Data Science, Engineering, Product, Compliance, and Executive Leadership. Facilitate clear communication and alignment across stakeholders at all levels.
  • Risk & Issue Management: Proactively identify, track, and mitigate program risks and issues. Implement contingency plans to address potential blockers and escalations.
  • Requirements Gathering: Translate high-level business and user requirements into detailed technical requirements. Work closely with technical teams to ensure feasibility, scalability, and alignment with architectural standards. This is not the prioritizing of the Product Management roadmap, but ensuring proper technical implementation and advancement of the Databricks and supporting platforms.
  • Project Execution & Agile Delivery: Use Jira and other project management tools to manage backlogs, sprints, and releases. Facilitate agile ceremonies, ensure velocity tracking, and drive continuous improvement across teams.
  • Business & Customer Focus: Collaborate with business and technical stakeholders to ensure technical solutions are usable, impactful, meet requirements, and deliver measurable value. Customer focused mindset to serve your internal stakeholders and collaborate with key departments and team members.
  • Data & AI Platform Expertise: Collaborate with data engineers and ML/AI teams to deliver scalable data pipelines, data governance solutions, and AI infrastructure that supports product and operational needs.

Requirements

  • 10+ years of technical program or project management experience, preferably in data and AI platform environments.
  • Proven experience working with large-scale distributed systems, cloud data platforms, or machine learning infrastructure.
  • Strong understanding of data lifecycle, including ingestion, processing, storage, governance, and AI/ML model deployment.
  • Excellent stakeholder management and communication skills, including experience working with executive leadership and technical teams.
  • Deep experience writing and managing detailed business system and technical requirements.
  • Proficiency in Jira, Confluence, and other project management and collaboration tools.
  • Strong risk management, decision-making, and prioritization skills in fast-paced, ambiguous environments.
  • Customer-first mindset with the ability to balance technical trade-offs and business goals.
  • Bachelor’s degree in Computer Science, Engineering, Data Science, or related field
Benefits
  • Free premium medical, dental, life and vision insurance
  • Generous 401(k) match
  • Aya also offers other benefits to those that are eligible and where required by applicable law, including reimbursements and discretionary bonuses
  • Aya provides paid sick leave in accordance with all applicable state, federal, and local laws. Aya’s general sick leave policy is that employees accrue one hour of paid sick leave for every 30 hours worked. However, to the extent any provisions of the statement above conflict with any applicable paid sick leave laws, the applicable paid sick leave laws are controlling
  • Celebrations! We hit our goals and reward ourselves.
  • Company-sponsored virtual events, happy hours and team-building activities are always on the horizon — plus, you get a special treat on your birthday!
  • Unlimited DTO — we believe in time off!
  • Virtual yoga, meditation or boot camp classes offered daily

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
program managementproject managementdata lifecyclemachine learning infrastructuredata governancedata pipelinestechnical requirementsAI infrastructurecloud data platformsdistributed systems
Soft skills
stakeholder managementcommunication skillsrisk managementdecision-makingprioritizationcustomer focuscollaborationleadershipagile deliverycontinuous improvement