Senior Financial Planning & Analysis Transformation Leader

Financial Analysis Manager II

Ecolab is seeking a Senior FP&A Transformation Leader to lead the modernization of FP&A insights and reporting Globally by enabling scalable, interactive, and AI-enabled analytics.

What’s in it For You: 

• Join a growth company offering a competitive salary and benefits.

• Make an impact and shape your career with a company that is passionate about growth.

• Be supported by an organization that believes it is vital to include and engage diverse people, perspectives, and ideas to achieve our best.

• Feel proud each day to work for a company that provides clean water, safe food, abundant energy and healthy environments.

What You Will Do: 

• This role is based in Pune, India (hybrid). You will partner across Finance, Technology, Data, and Analytics to transform how the business consumes FP&A insights—moving from static reporting to interactive, self-service, and AI-enabled decision support system 

Where You’ll Make a Difference 

• Lead end-to-end transformation of FP&A dashboards—evolving static reporting into interactive, AI-enabled insights that support decision-making.

• Standardization across region, FP&A reporting using standard Tools Technology stack 

• Partner with Technology, Data, and Analytics teams to translate business needs into scalable analytics products and AI-driven solutions.

• Define, standardize, and govern finance logic, KPIs, and insight narratives embedded in dashboards to drive consistent outcomes.

• Design intuitive self-service experiences (Copilot-like finance insights) that deliver fast, relevant, decision-ready information.

• Serve as the finance approval authority for dashboard designs, analytics models, and automated insights—ensuring alignment to finance governance and business priorities.

• Drive stakeholder adoption and value realization of analytics solutions across global finance and business partners.

• Demonstrate ownership and accountability with a sustained focus on business impact, value creation, and continuous improvement.

Key Stakeholders & Operating Model

• Partner with Divisional Finance leadership and FP&A teams to translate planning, forecasting, and performance needs into dashboard roadmaps and prioritized releases.

• Work closely with Global BI / Data & Analytics teams (e.g., MAP 2.0 / FP&A datasets) to ensure scalable design, data quality, and performance.

• Collaborate with Finance Systems and enterprise data/platform teams to align to governance, security access, refresh SLAs, and change management processes.

• Engage with functional and adjacent finance partners (e.g., CP&A, Supply Chain Finance, Commercial Finance) to standardize KPIs and definitions across reporting suites.

Success Measures (First 6–12 Months)

• Deliver a prioritized transformation roadmap and release cadence for NA FP&A dashboards (with clear scope, owners, milestones, and sign-offs).

• Improve usability and stakeholder adoption of the reporting suite (measured through active users, repeat usage, and stakeholder feedback from UX sessions).

• Strengthen trust in data and definitions by establishing standard KPI logic, tie-out routines, and governance documentation for key dashboards.

• Reduce manual effort and cycle time for recurring FP&A insights (e.g., month-end and forecast cycles) through automation and self-serve analytics.

• Launch at least 2–3 high-value enhancements (e.g., open orders / MTG projection views, daily movement “walks”, persona-based insight narratives) with measurable business impact.

What Makes You the Right Fit

• 12–14+ years of experience in Finance, FP&A, and/or Finance Transformation roles within complex or matrixed environments.

• Proven experience leading dashboard, analytics, or reporting transformations, including modernization of FP&A insights.

• Strong understanding of financial statements, performance management, and enterprise-level financial metrics.

• Hands-on exposure to BI tools and analytics platforms (e.g., Power BI or similar) and familiarity with AI-enabled reporting solutions.

• Demonstrated ability to translate financial data into clear, actionable business insights and storylines.

• Excellent communication and influencing skills, with the ability to engage diverse global audiences.

How Would You Stand Out? 

• Experience operating in a global or multi-regional context with an understanding of standard finance governance, access controls, and sign-off processes.

• Strong stakeholder management skills, with the ability to align Finance, Technology, and business teams on priorities, tradeoffs, and delivery timelines.

• Experience with modern data and BI stacks (e.g., Power BI, semantic models, SQL; familiarity with cloud data platforms such as Azure and/or Snowflake).

• A product mindset—comfortable running discovery, defining personas and user journeys, and delivering iterative releases (Agile) with measurable outcomes.

Qualifications: 

• Master’s degree in Finance, Accounting, Business Analytics, Data Science, or a related field (MBA preferred).

• Experience leading finance transformation programs, including process, reporting, and/or analytics modernization.

• Proficiency applying automation and AI concepts to strengthen analytics capability (e.g., driver-based insights, forecasting enablement, narrative generation).

• Strong analytical, problem-solving, and decision-making skills.

• Exceptional communication and interpersonal skills, with the ability to influence stakeholders at all levels.

• Ability to work independently and collaboratively in a fast-paced, global environment.

Tooling & Technical Preferences: 

• Strong Power BI capability (data modeling, DAX fundamentals, performance optimization, and dashboard UX best practices).

• Data scientist having worked in Global Projects including  FP&A transformation 

• Familiarity with cloud data platforms and pipelines (e.g., Azure services and/or Snowflake) and an understanding of refresh SLAs and data quality controls.

• Understanding of security and governance concepts (role-based access, personas, finance definition control, change management, and production deployment discipline).

• Understanding of AI products that can be scaled at an Enterprise level for FP&A Analytics 

Experience Level

Senior Level