Strategy and Analytics Business Partner

GAQ426R192 About the Role As Senior Manager, Finance Data and AI, you will lead the design, development, and delivery of data pipelines, AI use cases, and internal applications that power Databricks' Finance and Accounting organization. You will report to the Senior Director, Finance Data, AI & Strategy, with visibility to CFO-level priorities, and serve as the technical anchor for a team that bridges financial operations and modern data engineering. This individual is expected to be based in Bengaluru. This is a high-impact role at the intersection of finance domain expertise and data platform capability — less about writing distributed systems from scratch, and more about building purposeful, reliable solutions on top of the Databricks platform and Finance DataLake to accelerate Finance. You will be embedded in a Finance organization that takes data and AI seriously. The team operates with engineering rigor and Finance accountability, and you will have the autonomy to define how the Finance DataLake and modern Finance data infrastructure should evolve at Databricks. What You Will Do: * Orchestrate jobs using Databricks Jobs and Lakeflow Declarative Pipelines with built-in data validation and reconciliations * Identify, scope, and deliver AI use cases for the Finance and Accounting organization, including forecasting automation, anomaly detection, and natural language interfaces to financial data * Build and maintain internal Finance applications (Databricks Apps, Genie Spaces, dashboards) that enable self-service for non-technical Finance stakeholders * Build reports and dashboards for monthly, quarterly, and executive-level reporting * Publish curated finance datasets and enable self-service analytics, while enforcing row-level security and data access policies * Partner with Accounting, FP&A, Internal Audit, and Procurement teams to understand business requirements and translate them into scalable technical solutions within the Finance DataLake * Manage and grow a team of finance data engineers, setting technical standards, reviewing work, and developing talent * Enforce Git-based version control, pull-request reviews, and CI/CD pipelines (Declarative Automation Bundles, GitHub Actions) to satisfy SOX change management requirements * Provide support during financial close and ensure timely resolution of data-related issues * Partner with IT and Engineering to provide requirements and perform UAT of new systems and processes * Establish coding, data management, and documentation standards and best practices * Serve as a proactive leader who regularly assesses pain points, aligns with cross-functional teams on organizational objectives, and inspires and holds team members accountable for achieving high-quality results What We Look For: * 15+ years of experience in data engineering, finance systems, or analytics engineering, with at least 5 years in a people management or team lead capacity * Proficiency in SQL and Python for data pipeline development; experience with Apache Spark or the Databricks platform is a strong plus * Hands-on experience building and maintaining ELT/ETL pipelines connecting financial source systems (Netsuite, Salesforce, Stripe, Zuora, or similar) into a centralized data lake * Understanding of core finance and accounting concepts including close processes, revenue recognition, intercompany, chart of accounts, and financial reporting * Demonstrated ability to translate ambiguous Finance requirements into well-scoped, maintainable technical deliverables * Comfortable working across both technical (engineering, data platform) and non-technical (Accounting, FP&A) stakeholders * Experience with BI and data visualization tooling; ability to build Finance-facing dashboards and self-service products * Familiarity with AI/ML concepts and enthusiasm for applying them to Finance workflows Nice to Have: * Prior experience at a high-growth SaaS or cloud infrastructure company * Exposure to AI/BI tools, Genie, or LLM-powered applications * Experience with Declarative Automation Bundles or CI/CD for Finance DataLake pipelines * CPA, CFA, or formal finance/accounting background About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Who we are ABOUT STRIPE Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. ABOUT THE TEAM At its core, Stripe is a treasury company, and the Treasury Finance team is central to building the Global Payments and Treasury Network (GPTN). Treasury Finance Operations (TFin Ops) plays a critical role in the strategy, execution, and support of core functions of Treasury Finance, including cash management and forecasting, bank account management, investment execution and oversight, intercompany funding, and more. We're at an exciting inflection point and are investing heavily in AI to fundamentally transform how we operate. This role sits at the intersection of Treasury Finance expertise and applied AI and will be instrumental in building and scaling the Treasury Finance AI strategy. You'll work within a globally connected team to build AI-powered agents and automation solutions that make our operational workflows faster, more accurate, and more scalable. WHAT YOU'LL DO You'll work closely with Treasury Finance subject matter experts and the broader Finance AI ecosystem to build and operationalize AI agents and automation solutions that transform how Treasury Finance teams work. You'll move from understanding manual workflows to shipping effective solutions—and then enabling the team to maintain them independently. RESPONSIBILITIES * Build and operationalize AI agents for Treasury use cases such as cash forecasting, bank account management, alerting and reporting, and workflow automation, using internal agentic platforms and automation tools at Stripe * Deliver solutions end-to-end, from prototype to implementation and handoff * Automate manual and repetitive Treasury processes by identifying high-impact opportunities, designing scalable solutions, and iterating based on team feedback * Drive Treasury Finance AI strategy by maintaining a prioritized backlog of automation opportunities, tracking impact, and contributing to the team's long-term AI roadmap in partnership with Finance AI Solution Architecture and domain leads * Design and maintain knowledge layers and data pipelines that improve agent accuracy, including structured reference data, validation frameworks, and data quality controls * Independently scope automation opportunities, navigate platform constraints through creative problem-solving, and balance speed with quality to deliver impact quickly * Explore and prototype emerging AI applications to address evolving Treasury challenges WHO YOU ARE We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. MINIMUM REQUIREMENTS * Bachelor's degree in finance, mathematics, computer science, engineering, or a related field, with 3+ years of experience in software development, data science, or treasury and finance roles * Experience with emerging AI and LLM tools, conversational interfaces, prompt engineering, automation platforms or RPA, and LLM frameworks such as LangChain, LangGraph, or similar tools used to build AI applications and agentic systems * Solid understanding of AI fundamentals, including deep learning, natural language processing, and generative AI * Familiarity with modern data tools such as Python, Databricks, ETL and ELT processes, and data pipelines, along with experience coding with AI assistance * Strong proficiency in SQL, including writing complex queries and using CTEs, window functions, and joins for data analysis and pipeline logic * Track record of independently scoping and delivering technical solutions for process improvement, with strong ownership and self-sufficiency * Strong problem-solving and investigative skills, with the ability to identify root causes of data issues, debug complex problems, and resolve inconsistencies PREFERRED QUALIFICATIONS * Familiarity with the payments industry and fintech landscape * Experience with Databricks and cloud platforms such as AWS, GCP, or Azure * Software engineering experience in Ruby * Experience working in high-growth technology companies with rapidly evolving processes and tools