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NTT DATA

Senior Manager, Financial Reporting (AI Transformation, Data analytics and Automation)

Reposted Yesterday
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In-Office
Mumbai, Maharashtra, IND
Senior level
In-Office
Mumbai, Maharashtra, IND
Senior level
The Senior Manager, Financial Reporting oversees the preparation and analysis of financial reports, ensuring compliance and operational excellence while managing a team and liaising with stakeholders and auditors.
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Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion – it’s a place where you can grow, belong and thrive.

Ideal Candidate Profile:

A person with finance background / experience 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.

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.

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.

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 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.

Workplace type:

Hybrid Working

About NTT DATA
NTT DATA is a $30+ billion business and technology services leader, serving 75% of the Fortune

Global 100. We are committed to accelerating client success and positively impacting society through

responsible innovation. We are one of the world’s leading AI and digital infrastructure providers, with

unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and

application services. Our consulting and industry solutions help organizations and society move

confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more

than 70 countries. We also offer clients access to a robust ecosystem of innovation centers as well as

established and start-up partners. NTT DATA is part of NTT Group, which invests over $3 billion each

year in R&D.


Equal Opportunity Employer
NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today.


Third parties fraudulently posing as NTT DATA recruiters 

NTT DATA recruiters will never ask job seekers or candidates for payment or banking information during the recruitment process, for any reason. Please remain vigilant of third parties who may attempt to impersonate NTT DATA recruiters whether in writing or by phone in order to deceptively obtain personal data or money from you. All email communications from an NTT DATA recruiter will come from an @nttdata.com email address. If you suspect any fraudulent activity, please contact us.

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