Technical Program Manager (AI/ML & Data Platforms)

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Technical Program Manager (AI/ML & Data Platforms) in the United States.

This role is designed for an experienced technical program manager to lead complex AI, ML, and data platform initiatives. You will oversee large-scale technology programs, translating business requirements into actionable plans, and coordinating cross-functional teams across engineering, data science, product, and compliance. The position emphasizes strategic alignment, risk mitigation, and operational excellence while delivering scalable, high-quality solutions. You will manage programs end-to-end, drive agile delivery, and ensure that technical platforms meet business and customer objectives. The ideal candidate thrives in dynamic environments and can balance technical trade-offs with measurable business impact.

Accountabilities

• Lead the execution of enterprise-level AI, ML, and data platform programs from concept through delivery.
• Collaborate with cross-functional teams to ensure alignment with business objectives, timelines, and budgets.
• Translate high-level business and technical requirements into detailed, actionable plans.
• Proactively identify, track, and mitigate program risks and issues, implementing contingency strategies.
• Facilitate agile delivery practices, including backlog management, sprint planning, and release coordination.
• Ensure technical solutions are scalable, compliant, and deliver measurable value to business stakeholders.
• Partner with data engineers and AI/ML teams to design and implement robust data pipelines, governance frameworks, and AI infrastructure.

Requirements

• 10+ years of technical program or project management experience, preferably in AI, ML, or data platform environments.
• Demonstrated experience with large-scale distributed systems, cloud data platforms, or ML/AI infrastructure.
• Deep understanding of data lifecycle, including ingestion, processing, storage, governance, and ML model deployment.
• Strong stakeholder management and communication skills, with experience working across executive and technical teams.
• Proficient in writing and managing detailed business system and technical requirements.
• Skilled in Jira, Confluence, and project management tools for agile delivery.
• Strong risk management, decision-making, and prioritization capabilities in fast-paced, ambiguous environments.
• Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field.
• Preferred: experience in regulated industries, Databricks or cloud platform expertise, and project management or Agile certifications.

Benefits

• Comprehensive medical, dental, life, and vision insurance.
• Generous 401(k) match and retirement planning support.
• Paid time off policies, including unlimited discretionary time off (DTO).
• Employee wellness programs, including virtual yoga, meditation, or fitness classes.
• Recognition events, virtual team-building activities, and milestone celebrations.
• Competitive salary range: $170,000 – $185,000 annually (may vary based on experience and qualifications).
• Opportunities for professional growth and development in a high-energy, collaborative environment.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company offering the position. The final decision and next steps (such as interviews or additional assessments) are handled by their internal hiring team.

Thank you for your interest!