Director FP&A - Automations and AI

Overview

Lead the technology, systems, data, analytics and transformation agenda for the FP&A organization as a strategic bridge between Finance, Data, Engineering and IT, and manage the FP&A technology team.

What you'll do

• Own and execute the FP&A technology and transformation roadmap, aligning investments and priorities with Finance and business objectives.
• Provide strategic ownership and governance of Workday Adaptive Planning and related planning capabilities supporting budgeting, forecasting, long-range planning, workforce planning, and scenario analysis.
• Lead the FP&A analytics strategy across Power BI, OfficeConnect, Adaptive reporting, and other BI tools, enabling executive reporting, actionable insights, and governed self-service analytics.
• Partner with Data and Engineering teams to strengthen FP&A data architecture, governance, taxonomy, integrations, and data flows across Snowflake, Adaptive, ERP/HCM/CRM platforms, and reporting solutions.
• Identify and deliver automation, AI, advanced analytics, and workflow opportunities that reduce manual effort, improve controls, accelerate planning/reporting cycles, and enhance decision support.
• Lead strategic FP&A transformation initiatives from business case and solution design through implementation, adoption, and benefits realization.
• Establish standards for solution architecture, system access, data quality, testing, change management, documentation, controls, and production releases.
• Act as the senior FP&A technology partner to Finance leadership and collaborate closely with IT, Data Strategy, Engineering, Accounting, HR, and other business teams.
• Lead, develop, and mentor the FP&A technology, BI, systems, and analytics team while building strong technical capability, succession, and operational resilience.
• Drive user adoption, training, documentation, knowledge sharing, and data literacy to enable effective and controlled self-service across Finance.

What you'll need

• Bachelor's degree in computer science, Information Technology, Information Systems, Data Science, Engineering, Finance, Accounting, or a related quantitative discipline.
• 10+ years of progressive experience across FP&A, financial systems, analytics, data, or finance transformation, including leadership of teams and complex cross-functional initiatives.
• Strong executive communication and ability to translate Finance requirements into scalable technology solutions.
• Demonstrated ability to influence and partner across Finance, IT, Data, Engineering, and senior leadership.
• Workday Adaptive Planning or comparable EPM platforms; budgeting, forecasting, workforce planning, scenario modelling, and management reporting.
• Power BI, Tableau, Metabases, OfficeConnect, Adaptive reports, or comparable reporting technologies.
• Snowflake, Azure, enterprise data warehouses, relational databases, and modern Finance data architectures.
• SQL, ETL/ELT, APIs, integration mappings, workflow orchestration, reconciliation, and data-quality controls.
• Python or comparable automation technologies; predictive analytics, anomaly detection, and appropriately governed AI solutions.
• Exposure to Salesforce, Dayforce/Ceridian, ERP, CRM, HCM, and other operational systems that provide inputs to FP&A.
• Advanced Excel and a strong understanding of financial models, hierarchies, allocations, drivers, assumptions, and reporting structures.

Nice to have

• MBA, master's in finance/Analytics/Information Systems, or equivalent advanced degree.
• Strategic thinker with the ability to connect FP&A priorities with technology, data, and transformation opportunities.
• Strong business and financial acumen, with a clear understanding of how technology can improve planning, forecasting, reporting, and decision support.
• Proven change leader who can simplify complex processes and drive adoption of new systems, automation, and ways of working.
• Strong executive presence and stakeholder management skills, with the ability to influence across Finance, Data, Engineering, and IT.
• Technology-forward and analytically curious, with a practical approach to automation, AI, and emerging capabilities.
• Demonstrated ability to lead and develop high-performing technical and analytics teams.
• Strong problem-solving and systems-thinking mindset, with the ability to balance immediate business needs with scalable long-term solutions.
• Highly collaborative, accountable, and execution-focused, comfortable operating in a fast-paced, global, matrixed environment.
• Strong focus on data quality, governance, controls, scalability, and operational excellence.
• Ability to translate complex technical concepts into clear business outcomes and executive-level recommendations.

Details

• Location: Bengaluru.
• Role sits in the COE – Tech Team.