Overview
Senior Manager Financial Reporting- Power BI/ Agentic AI Tools Jobs in Bengaluru, Karnataka, India at NTT DATA
Title: Senior Manager Financial Reporting- Power BI/ Agentic AI Tools
Company: NTT DATA
Location: Bengaluru, Karnataka, India
Title: Senior Manager, Financial Reporting
Location: Bangalore
Work format: Full time work from office role
Education: CA (Qualified)
Role Purpose
To strengthen the FP&A function by leveraging finance expertise, data analytics, AI, and automation. The role will identify opportunities to improve forecasting, reporting, insights generation, and decision support through technology-led solutions and lead end-to-end implementation of automation initiatives.
Ideal Candidate Profile:
A finance professional with strong analytical thinking who can combine FP&A expertise with data, technology, and AI capabilities to transform the finance function from reporting-focused to insight-driven.
Required Skills & Experience
- Strong understanding of FP&A processes: budgeting, forecasting, variance analysis, management reporting.
- Experience in finance analytics and working with large datasets.
- Ability to identify process improvement and automation opportunities.
- Hands-on experience with analytics tools such as:
- Power BI / Tableau
- Advanced Excel
- SQL / Python (preferred)
- JavaScript programming (bonus skill)
- ERP systems (SAP/Oracle/others)
- Understanding of AI concepts and practical applications in finance.
- Strong project management and stakeholder management skills.
- Preferred Experience
- Experience implementing automation solutions in Finance.
- Exposure to AI tools, RPA, GenAI, or finance transformation projects.
- Experience working in cross-functional teams.
- Ability to translate business problems into technology solutions.
- Experience with Agentic AI
Key Responsibilities
1. FP&A Business Partnering
- Support budgeting, forecasting, financial planning, and performance analysis.
- Develop meaningful business insights through analysis of financial and operational data.
- Partner with business teams to identify improvement opportunities and drive decision-making.
- Improve accuracy and efficiency of FP&A processes.
2. AI & Automation Opportunity Identification
- Assess existing FP&A processes to identify automation and AI use cases.
- Identify opportunities to reduce manual reporting, improve forecasting accuracy, and enhance analytics capabilities.
- Build business cases for automation initiatives including benefits, cost impact, and implementation roadmap.
- Stay updated on emerging AI tools and finance technology trends.
3. Data Analytics & Insights
- Develop advanced analytics solutions using financial and operational datasets.
- Create dashboards, models, and reporting solutions to improve visibility and decision support.
- Use data analytics techniques to identify trends, risks, cost optimization opportunities, and growth drivers.
- Enable predictive analytics for forecasting and scenario planning.
4. Automation Implementation & Change Management
- Lead end-to-end implementation of AI/automation projects from idea generation to deployment.
- Work with IT, data teams, and business stakeholders to deliver solutions.
- Drive adoption of new tools and processes across finance teams.
- Document processes, controls, and best practices.
5. Reporting & Performance Management
- Automate management reporting and KPI tracking.
- Improve speed, accuracy, and quality of financial reporting.
- Develop self-service analytics capabilities for stakeholders.
Key Success Metrics
- Reduction in manual FP&A effort and reporting cycle time.
- Improved forecasting accuracy.
- Number and impact of automation/AI initiatives implemented.
- Improved data quality and availability of insights.
- Adoption of new analytics solutions by finance and business teams.
