Jobs · Information Technology · New York

Technical Program Manager – Data & Enterprise Services Technology

ATLAS SP Partners · New York, NY · 5 days ago
On-siteInformation Technology$150k–$200k/yrFull-time

Primary Responsibilities

  • Collaborate with the business, project managers, and development teams to enhance systems and processes.
  • Oversee program lifecycle from strategy to planning to delivery.
  • Collaborate with IT Management around resource allocation and cross-functional projects.
  • Develop and maintain a multi-year Data and Enterprise Services Technology roadmap, integrating business priorities, system enhancements, and process improvements.
  • Provide governance and oversight across projects, ensuring transparency, accountability, and timely delivery.
  • Advise Enterprise Services stakeholders on technology best practices, data strategy, and process automation opportunities.

Required Qualification and Experience

  • 10+ years of experience in a technical, program management, or product ownership role within financial services or a corporate finance environment.
  • 5+ years of leadership experience
  • Deep understanding of financial instruments and financial domain.
  • Proven experience developing and executing technology roadmaps and managing complex project portfolios.
  • Strong understanding of software development lifecycles (Agile, Waterfall, or hybrid) and enterprise technology environments.
  • Exceptional communication and stakeholder management skills—able to bridge the gap between finance users and technical teams.
  • Bachelor’s degree in computer science, Information Systems, Finance, or a related discipline.
  • Highly organized, detail-oriented, and able to manage multiple concurrent initiatives in a fast-paced environment.

Preferred Qualification and Experience

  • Prior experience implementing or supporting transformational projects in the Data or Enterprise Services space.
  • Familiarity with enterprise data architectures, financial data models, and reporting solutions (e.g., Power BI, Tableau, Oracle Analytics).
  • Background in technology strategy or consulting for Data or Enterprise Services organizations.

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