- Job Title: Director, FP&A Data Lead
- Department: Corporate Financial Planning & Analysis (FP&A)
- Location: [Insert Location / Hybrid]
- Role Overview
- Our Corporate FP&A team drives enterprise-wide planning, forecasting, management reporting, and executive-level financial communications. As we modernize our finance function through modern cloud data platforms and advanced analytics, we are seeking a transformative leader to own the finance data strategy.
- As the Director, FP&A Data Lead, you will define and execute the roadmap for governed, high-quality, and AI-ready finance data products. Acting as the critical link between Finance and Technology, you will enable scalable planning, automated reporting, and data-driven decision-making across the enterprise. This is a highly visible, emergent role where you will shape how finance data is structured, governed, and leveraged company-wide.
- Key Responsibilities
- Strategic Roadmap & Leadership
- Lead the end-to-end data strategy and roadmap, aligning with enterprise finance transformation goals including planning modernization, standardized reporting, executive decision support, and AI enablement.
- Cross-Functional Collaboration
- Partner with FP&A, Controllership, Accounting, Treasury, Tax, Business Unit Finance, Data Engineering, Architecture, Analytics, and Governance teams to translate complex business needs into scalable technical solutions.
- Data Product Design & Governance
- Design and govern reusable finance data products, semantic layers, and data models that standardize key metrics, reporting hierarchies, and financial logic across planning tools, dashboards, semantic platforms, and downstream analytics.
- Execution & Delivery
- Drive the full product lifecycle—translating requirements into technical specifications, managing agile backlogs, prioritizing use cases, enabling end-users through training/documentation, and measuring success via data quality and business impact KPIs.
- Quality & Control Standards
- Establish and enforce robust data governance frameworks, including validation rules, reconciliation routines, certification tiers, metadata management, data lineage, documentation, and access controls.
- Continuous Improvement
- Champion standardization, simplification, and process enhancement across finance reporting while staying ahead of emerging trends in finance transformation and AI capabilities.
- Qualifications
- Basic Requirements
- Bachelor’s degree in Finance, Information Systems, Computer Science, or a related field.
- 5–10 years of professional experience, with a strong emphasis on finance processes and data transformation.
- Desired Characteristics & Experience
- Finance Acumen: Deep understanding of financial planning, analytics, management reporting, and financial hierarchies.
- Industry Context: Experience driving finance data transformation within a large, complex, multi-business-unit organization (e.g., media, entertainment, technology, or consumer products).
- Technical Tooling: Familiarity with modern data platforms, data catalogs, and semantic layer tools. Experience with enterprise performance management (EPM) or similar planning/BI platforms is highly preferred.
- Stakeholder Management: Proven ability to bridge business and technology teams, aligning diverse stakeholders around a unified vision.
- Product Mindset: Demonstrated experience defining roadmaps, prioritizing features, managing backlogs, and tracking adoption and business impact.
- Governance Focus: Strong understanding of metadata management, data lineage, and enterprise data quality standards.
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Director, Finance Data Product
Integration International Inc.
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