Sr Business Analyst
On-siteBengaluru, Karnataka, India
Job Summary
Own the product vision, roadmap, and backlog for AI solutions supporting Enterprise Finance. Partner with FP&A, Accounting, Controllership, Tax, Treasury, and Shared Services teams to identify high-value opportunities and translate business needs into requirements. Collaborate with Digital Technology, Data & AI, and Engineering groups to deliver enterprise AI solutions while driving adoption through stakeholder engagement and change management. Define KPIs to continuously measure business impact and product success. Requires 10+ years in Enterprise scale digital product development and 3+ years as a product owner or business analyst. Schedule is standard Mon-Fri.
Required Qualifications
- 10+ years of overall experience in Enterprise scale Digital product development and delivery
- 3+ years of experience as a product owner, business analyst, data analyst, technology analyst, or agile delivery lead working on data, analytics, automation, or digital products
- Strong knowledge of Finance processes including Record-to-Report, Procure-to-Pay, Order-to-Cash, FP&A, Financial Close, Reporting, and SOX/Internal Controls
- Experience with enterprise Finance platforms such as SAP S/4HANA, Oracle, Workday, OneStream, Hyperion, Anaplan, or BlackLine
- Working knowledge of Generative AI, Agentic AI, Microsoft Copilot, Azure AI, APIs, and enterprise data platforms
- Experience working in Agile/Scrum environments with cross-functional teams
- Comfortable with data and AI concepts: source systems, data quality, data pipelines, semantic layers, dashboards, APIs, LLMs, agents, prompts, human-in-the-loop workflows, and responsible AI controls
- Hands-on experience with tools and platforms such as Jira, Monday.com, Power BI, SQL, Excel, process mapping tools, or similar product and analytics platforms
- Excellent stakeholder management, communication, and business consulting skills
- Strong facilitation and communication skills; able to synthesize decisions and keep technical and non-technical stakeholders aligned
- Practical orientation toward measurable outcomes: adoption, usability, workflow fit, value realization, and scaling what works
- Bachelor's degree in Business Analytics, Information Systems, Computer Science or a related field; equivalent practical experience will be considered
Desired Qualifications
- exposure to cloud data platforms, lakehouse/warehouse concepts, finance workflows in large Enterprises with global teams
- Experience delivering AI within Enterprise Finance
- Familiarity with Microsoft Fabric, Power Platform, and Microsoft 365 ecosystem
- CSPO, SAFe Product Owner/Product Manager, or similar certification
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