Program Manager

Description

We are looking for a Program Manager to lead finance data initiatives for a Financial Services organization in New York, New York. This Long-term Contract position will guide work from early problem identification through clearly defined, engineering-ready requirements while partnering with cross-functional teams to keep priorities aligned. The role calls for strong communication, product thinking, and hands-on analytical ability to turn complex business needs into practical delivery plans.

Responsibilities:
Lead the full lifecycle of finance data programs, shaping work from initial business challenge through finalized specifications ready for engineering execution.
Build and maintain a clear, current roadmap for finance data priorities so stakeholders can easily understand timelines, dependencies, and delivery goals.
Partner with teams across finance, data governance, and business systems to establish effective communication paths and sustain alignment on scope and outcomes.
Work closely with related product and project teams to manage cross-functional dependencies, reduce delivery risk, and support timely execution.
Run working sessions that bring the right teams together, document key decisions and open issues, and drive next steps toward resolution.
Provide concise updates, recommendations, and roadmap insights to senior finance leadership to support informed decision-making.
Create practical prototypes using Excel, Python, SQL, and AI-enabled tools to clarify ambiguous needs and translate them into build-ready solutions.
Monitor program risks and obstacles proactively, recommending mitigation strategies that help keep deliverables on track.

Requirements

Demonstrated experience managing complex programs or products, preferably within finance, data, or financial services environments.
Strong ability to communicate with technical and business stakeholders and keep cross-functional teams aligned around shared objectives.
Advanced Excel skills, with the ability to use data analysis and modeling to support planning and decision-making.
Hands-on experience with Python and SQL for prototyping, analysis, or translating business needs into technical requirements.
Understanding of finance data governance practices and the interaction between business systems and data processes.
Ability to convert vague or evolving problems into structured requirements and actionable delivery plans.
Experience maintaining decision records, issue tracking, and status reporting for leadership audiences.
Proven leadership and risk management skills with a track record of supporting on-time delivery across interdependent workstreams.

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