Job Summary

The FPA Data Science Manager is responsible for leading SITA's FPA Data Science capability and driving the application of advanced analytics, machine learning and business intelligence across financial planning, forecasting and performance management. The role combines technical leadership, stakeholder management and people leadership. The position acts as the bridge between Finance, Technology and business stakeholders, ensuring that data assets, predictive models and analytical tools support better decision making and improved business performance. The Manager owns the FPA Data Science roadmap, leads the development of forecasting and analytical solutions, manages the FPA Data Science team and drives adoption of emerging technologies including AI and machine learning.

Responsibilities

- Define and execute the FPA Data Science strategy.
- Develop a portfolio of advanced analytics and AI initiatives aligned to Finance priorities.
- Establish standards, methodologies and governance for analytical models and reporting solutions.
- Evaluate emerging technologies and identify opportunities to improve planning and forecasting processes.
- Own and enhance usage-based forecasting models supporting revenue planning.
- Develop predictive and machine-learning models to improve forecast accuracy.
- Lead scenario and sensitivity analysis supporting strategic planning and investment decisions.
- Continuously monitor model performance and implement improvements.
- Lead a centralized FPA BI service supporting finance stakeholders.
- Define dashboard standards and reporting architecture.
- Ensure high-quality, scalable and automated reporting solutions using Power BI and Microsoft Fabric.




- Drive self-service reporting capabilities across FPA.
- Identify relationships and drivers behind revenue, margin, ACV, cash flow and operational performance metrics.
- Conduct exploratory data analysis to uncover actionable insights.
- Translate complex analysis into transparent business recommendations.
- Lead the integration of machine learning capabilities into finance processes and systems.
- Act as business lead for AI-related initiatives involving OneStream, ERP and other finance platforms.
- Partner with Information Services to deploy analytical solutions in production environments.
- Manage a portfolio of analytical projects from concept through delivery.
- Engage senior stakeholders including CFO leadership, FPA, Treasury, Corporate Control and business finance teams.
- Balance competing priorities and ensure delivery against agreed objectives.
- Manage, coach and develop FPA Data Scientists.
- Create a culture of innovation, continuous improvement and technical excellence.
- Provide mentoring and quality assurance for analytical deliverables.

Qualifications

- Typically 7-10+ years of experience in data science, analytics, finance analytics or related disciplines.
- Experience leading analytical projects and managing stakeholders.
- Experience mentoring or managing technical team members.




- Experience designing and deploying machine-learning models.
- Experience in financial planning, forecasting or corporate finance environments preferred.

Knowledge & Skills

- Python
- SQL
- Microsoft Fabric
- Power BI
- Machine Learning
- Statistical Modelling
- Data Engineering concepts
- Financial Modelling and Forecasting
- Cloud analytics platforms

Professional Competencies

- Accountability
- Accuracy/Attention to Detail
- Business Acumen and insight
- Business Process Improvement
- Cloud Computing
- Coaching Others
- Commercial Acumen
- Communicating complex ideas effectively
- Computer Systems
- Industry Conceptual Thinking
- Conflict Management
- Conflict Resolution
- IT Industry: Trends
- Directions
- Innovation
- Managing Change
- Managing Change Risk Management
- Standards/Procedures/Policies
- Strategic Mindset
- Systems Thinking
- Tech. Writing/Documentation
- Technical Excellence
- Technology Advising

Core Competencies

- Adhering to Principles
- Values
- Collaboration
- Communication
- Creating Innovation
- Customer Focus
- Develops talent
- Impact
- Influence
- Leading Execution
- Results Orientation
- Teamwork

Education Qualifications

- Bachelors degree in Data Science, Statistics, Mathematics, Computer Science, Economics, Finance or related discipline.
- Masters degree preferred.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Lead Specialist (Mumbai)
🏢 SITA
📍 Mumbai