What are the responsibilities and job description for the Finance Change Management Lead-Hybrid @ NYC, NY position at Cyber Sphere LLC?
Title – Finance Change Management Lead
Location-Hybrid @ NYC-Need Locals Only
Duration –Contract
About the Role
The Finance Division is seeking an experienced Finance Change Management Lead to directly support a senior Finance lead across strategic change initiatives, with primary focus on the Finance Data Warehouse.
The ideal candidate combines deep Capital Markets product and data knowledge with hands-on Finance change delivery. They will manage multiple initiatives, translate complex business and regulatory needs into executable plans, and produce concise Steering Committee and senior-management materials.
Key Responsibilities
- Partner directly with a senior Finance lead to drive the Finance Data Warehouse and broader strategic change portfolio.
- Lead multiple workstreams end to end, owning priorities, milestones, dependencies, risks, implementation, and transition to BAU.
- Bridge Finance, Technology, Data, Architecture, and Product teams to turn business and regulatory requirements into executable solutions.
- Define and validate Finance Data Warehouse requirements, including user stories, acceptance criteria, data requirements, solution validation, and end-user sign-off.
- Apply Capital Markets product and trade-lifecycle knowledge across derivatives, loans, fixed income, and securities financing transactions to shape and validate data requirements.
- Drive data sourcing, lineage, mapping, transformation, reconciliation, data quality, and control requirements supporting Finance and regulatory reporting.
- Support capital, leverage, financial, and prudential reporting initiatives, aligned to regulatory deadlines, controls, and stakeholder expectations.
- Create Steering Committee and senior-management materials, including executive presentations, decision papers, status and risk packs, roadmaps, and supporting analysis.
- Lead governance forums and stakeholder meetings; communicate decisions, risks, issues, actions, and recommendations clearly and concisely.
- Coordinate testing, implementation readiness, and BAU transition while guiding Business Analysts, testing resources, and cross-functional contributors.
Required Qualifications
- 8-10 years of relevant experience in Finance change, portfolio/program delivery, product ownership, business analysis, or project management within a large financial institution.
- Strong Capital Markets product and trade-lifecycle knowledge across derivatives, loans, fixed income, and securities financing transactions.
- Strong Finance data and enterprise data warehouse experience, including sourcing, lineage, mapping, transformation, reconciliation, data quality, and controls.
- Demonstrated experience delivering Finance Data Warehouse, Finance data transformation, or other large-scale data-intensive change initiatives.
- Working knowledge of regulatory reporting across capital, leverage, financial, and/or prudential reporting; FED, SEC, PRA, EBA, or comparable regulatory experience is highly relevant.
- Proven ability to run multiple complex initiatives across requirements, prioritization, testing, implementation, BAU transition, risk, and dependency management.
- Excellent executive communication and presentation skills, including the ability to distill complex topics into clear Steering Committee and senior-management materials.
- Strong stakeholder management, analytical, and organizational skills, with the ability to influence senior Finance, Technology, Data, Architecture, and control-function stakeholders.
- High proficiency in Microsoft Excel and PowerPoint, including analysis of large datasets and creation of concise management insights.
- Ability to work in person in the New York office a minimum of three days per week.
Preferred Characteristics
- Experience working in Agile squads or fleets, with familiarity with traditional project and program management approaches.
- Strong facilitation, conflict-management, and influencing skills; able to drive decisions without direct authority.
- Data-driven, accountable, self-motivated, and highly organized, with a strong focus on data quality, controls, and measurable outcomes.
- Continuous-improvement mindset and interest in AI-enabled tools that improve analysis, documentation, and delivery execution.
Regards,
Sai Srikar
Email: