Enterprise Data Product Lead / Business Partner, Finance Function Director

Description

• Introduce best-in-class external practices for digital finance transformation, autonomous planning, and governance frameworks (SOX, GDPR, data privacy)
• Influence finance strategy by demonstrating how AI and analytics can drive working capital efficiency, optimized CapEx planning, cost-to-serve transparency, and improved capital allocation
• Stay current on Finance-specific AI and analytics trends—AI-driven forecasting, predictive cash flow modeling, margin waterfall automation, anomaly detection, ESG reporting, tax scenario modeling
• Develop a Data Product Strategy for your functional stakeholders, in alignment with Strategic business goals, and short term/long term priorities
• Translate Finance pain points—such as forecast drift, margin visibility, multi-dimensional cost allocations, capital planning, risk governance, and reporting automation—into data product solutions
• Manage budgets associated with Finance data product investments and communicate value realization metrics (accuracy improvement, reporting cycle time reduction, process automation ROI)
• Lead development of finance-grade semantic data models (P&L, balance sheet, cash flow, margin waterfall, cost center hierarchy) and integrate with enterprise Data Platform
• Develop solutions, lead, and manage problems that may be ambiguous and lacking clear precedent by framing problems, generating hypotheses, and making recommendations from a perspective that combines both, problem-solving and product-specific expertise
• Set stakeholder expectations with transparency and clarity; proactively balance quick win delivery and foundational platform efforts
• Build deep trusted advisor relationships with CFO staff, FP&A, Controllership, Tax, Treasury, and Audit teams by understanding their strategic objectives, operating cadence, and financial processes (e.g., budgeting, forecasting, financial close, management reporting)
• Design products optimized for ease of use, forecast accuracy, automation of manual processes, secure financial workflows, audit readiness, and executive-grade insights
• Productize analytics services such as AI-based forecasting engines, financial planning datasets, profitability dashboards, automated close insights, management reporting packs, and governance-enabled data catalogs

Requirements

• Ability to build and maintain strong business relationships with key stakeholders as a trusted advisor
• 6-8+ years in Product Management, ideally with experience building Finance analytics products (EPM, FP&A, ERP-integrated analytics, forecasting engines, etc.)
• Analytical problem solver with the ability to work under pressure and multitask while leading cross-functional teams
• Proven ability to lead cross-functional stakeholders across Finance, IT, Engineering, and Data Science
• Dynamic, forward-thinking leader with a bias for action, rapid experimentation, and ability to break down complex problems and deliver novel solutions to address them
• Ability to balance collaboration and driving alignment, while being decisive
• Excellent communicator able to simplify the complex
• Preferred: Prior experience in Data Center, Cloud, Telecommunications, IT industry
• Excellent communication and interpersonal skills, with proven track record of building strong relationships with business stakeholders
• Degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field
• Strong knowledge of Finance concepts: FP&A, financial planning & forecasting, profitability modeling, management reporting, capital planning, margin and cost analytics, SOX, and compliance
• Ability to demonstrate ownership and proactively drive initiatives while meeting business deadlines

Benefits

Training + Development

Interview process

Visa Sponsorship

Security clearance