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# Program Manager - Data, AI, Databricks | Full-Time | Remote | 12+ years exp. | USC/GC Preferred

- **Company:** TMS LLC
- **Location:** Detroit, MI, United States (Remote available)
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Artificial Intelligence, Big Data, Information Engineering, Data Management, Databricks
- **Published:** June 12, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=24d7e1a87b80814c

## About the Role

Do you have experience in Technology management?, * 12+ years in IT with strong Program Management experience

 * Databricks
 * Data Engineering / Data Platforms
 * AI/ML Programs
 * Proven experience managing global delivery models
 * Strong stakeholder management & communication skills
 * Experience with Agile / Hybrid delivery models

## Description

* We are seeking a highly experienced Techno-Functional Program Manager to lead and manage end-to-end program delivery with a strong focus on onsite-offshore coordination. The ideal candidate will bring deep expertise in Data, Databricks, and AI initiatives, along with proven capability in handling complex, cross-functional technical programs.
 * This role requires both strategic leadership and hands-on execution, ensuring successful alignment between business objectives and technology delivery., * Lead and manage large-scale data and AI programs from initiation to delivery.
 * Act as a bridge between business stakeholders and technical teams, ensuring clear communication and alignment.
 * Drive onsite-offshore coordination, ensuring seamless collaboration across geographically distributed teams.
 * Oversee program planning, execution, risk management, and delivery timelines.
 * Manage Databricks-based data platforms and solutions, ensuring scalability and performance.
 * Define program governance structures, KPIs, and reporting mechanisms.
 * Work closely with architects and engineering teams to guide data, analytics, and AI solution design.
 * Ensure adherence to quality, compliance, and security standards.
 * Identify and mitigate risks, dependencies, and bottlenecks proactively.
 * Provide regular updates to leadership and stakeholders on program status, risks, and outcomes.
 * Drive continuous improvement in delivery processes and best practices.


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