As a Business Intelligence Manager III supporting Global Customer Fulfillment Analytics, you will own the strategy and execution of data solutions delivery, agentic analytics, and scalable platform capabilities for one of Amazon's largest finance organizations. You will execute the modern data delivery strategy - transitioning legacy systems to a data lakehouse architecture with agent-first designs - while ensuring Finance customers have reliable, performant, and intuitive access to the insights they need today. This requires navigating a complex landscape of interdependent tools and platforms (many developed concurrently by other Amazon teams), managing ambiguity, making high-judgment calls with incomplete information, and adapting plans as new internal products evolve.
Success in this role requires deep technical expertise, strategic thinking, and collaborative leadership. You will build and develop a high-performing team, forge strong cross-functional partnerships, influence peer team roadmaps, and champion emerging technologies to deliver an agile, scalable data infrastructure that empowers faster, more informed decision-making across Operations Finance.
Key job responsibilities
- Lead the 3-Year Data Modernization strategy, overseeing the transition from legacy systems to a data lakehouse architecture and agent-first designs - ensuring Operations Finance teams gain faster, more reliable access to the data they need for decision-making.
- Own the end-to-end data delivery experience for Finance customers, defining and measuring success through customer adoption, data freshness, query performance, and self-service enablement across 2,400+ users globally.
- Champion agentic analytics capabilities, identifying opportunities to embed automation and intelligent agents into data workflows that reduce manual effort and accelerate insight generation for business stakeholders.
- Manage and develop a high-performing team of engineers, fostering a culture of innovation, engineering excellence, and operational efficiency - raising the bar on talent while delivering more with less.
- Build and maintain strong cross-functional partnerships with peer engineering teams, product owners, and Finance leadership - influencing roadmaps and aligning dependencies to ensure cohesive delivery of the central data platform.
- Navigate complex inter-dependencies between tools and platforms developed concurrently by multiple teams, regularly assessing progress, managing ambiguity, and pivoting migration strategy as internal products evolve.
- Drive adoption and continuous improvement of analytics solutions - publishing, analyzing, and iterating on management dashboards, operational metrics decks, and KPIs in close partnership with Finance customers to ensure outputs meet evolving business needs.
- Develop and execute comprehensive deprecation and migration plans for legacy data platforms, minimizing operational disruption while maintaining data integrity and customer trust throughout transitions.
- Lead cross-functional initiatives to integrate emerging technologies (new internal products, open-source frameworks, generative AI) into the modernization roadmap, evaluating build-vs-adopt tradeoffs with a customer-impact lens.
- Establish scalable platform capabilities and self-service tooling that empower Finance analysts to independently access, transform, and visualize data - reducing dependency on engineering teams and accelerating time-to-insight.
A day in the life
Your typical day is dynamic and multifaceted, balancing strategic initiatives with day-to-day operational demands. You're continuously balancing the need to drive forward strategic objectives with the requirement to support ongoing operations and handle unexpected issues and escalations. Your role requires you to be adaptable, make quick decisions, and maintain a broad perspective on how individual tasks and challenges fit into the larger goals of your data infrastructure modernization initiative.
About the team
WW Operations Finance Standardization and Automation improves customer experience and business outcomes across Amazon Operations Finance through innovative technical solutions, standardization and automation of processes and use of modern data analytics technology.
BASIC QUALIFICATIONS
- 5+ years of data warehouse technical architectures, data modeling, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures and hands-on SQL coding experience
- 3+ years of delivering results managing a business intelligence or analytics team, including employee development and performance management experience
- Experience working directly with business stakeholders to translate between data and business needs
- Experience leading and influencing the BI strategy of your team or organization
- Experience with R, Python, Weka, SAS, Matlab or other statistical/machine learning software
PREFERRED QUALIFICATIONS
- Experience in processing data with a massively parallel technology (such as Redshift, Teradata, Netezza, Spark or Hadoop based big data solution)
- 8+ years of complex cross-functional change management experience
- 10+ years of progressive technology implementation experience
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, TN, Nashville - 136,200.00 - 184,300.00 USD annually
USA, WA, Bellevue - 143,400.00 - 194,000.00 USD annually
