BIE Manager, Business Insights and Analytics T&C Strategy and Operations

AWS Training and Certification org is seeking a BIE Manager to lead our Data and Analytics team. As the leader of this team you will have broad latitude to interpret data across revenue customers trained customer trends and operating expense and directly influence the organizations senior management. Your team will deliver proactive deep insights into the KPIs and metrics driving the business and increasingly will use Generative AI tools to accelerate insight generation automate reporting workflows and surface predictive intelligence at scale.

You will manage a team of 510 business Intelligence engineers and data engineers responsible for building and streamlining data infrastructure defining methodologies and creating self-service reporting and insight tools for the T&C organization and its stakeholders. You will lead the development of statistical models and work closely with engineering and data science teams to implement forecasting and planning solutions. You will also be accountable for building a GenAI-forward team culture evaluating emerging AI/ML tools integrating large language model (LLM) capabilities into BI workflows and upskilling your team on GenAI best practices.

The right candidate is passionate about people leadership AI-driven analytics large-scale data infrastructure and bringing data forward to answer the critical business questions that deepen our understanding of our business drivers. This role requires excellent team leadership communication skills analytical modeling expertise and the ability to partner across AWS T&C Product Data and BI Engineering Finance Strategy and Sales teams to drive business outcomes. You will operate with a high degree of autonomy set clear direction for your team and lead with both technical depth and strategic vision.


Key job responsibilities
- Lead and develop a team of 510 business intelligence engineers and data engineers including hiring performance management and career development
- Define and execute a long-term BI and analytics strategy aligned with AWS T&C organizational goals with GenAI integration as a core pillar
- Drive the adoption of Generative AI tools across BI workflows including LLM-assisted insight generation AI-powered anomaly detection natural language querying and agentic reporting pipelines
- Create and deliver advanced metrics reporting platforms and analytical models including forecasting predictive modeling and scenario analysis critical for tracking and managing the business
- Partner with functional business leaders to establish a single source of truth for data and reporting and build scalable business insights solutions
- Translate complex analytical findings into clear compelling narratives for senior leadership including VPs and Directors
- Mentor team members support their professional growth and foster a culture of continuous learning experimentation and data-driven decision-making
- Collaborate with engineering and data science teams to implement robust production-grade analytics solutions

About the team
AWS Training and Certification helps builders across the world develop the cloud skills they need. Our BI and Analytics team powers the data and insights that drive this mission enabling leaders across the business to make faster smarter and more customer-obsessed decisions. We are a curious collaborative and high-ownership team.

AWS Global Services
AWS Global Services includes experts from across AWS who help our customers design build operate and secure their cloud environments. Customers innovate with AWS Professional Services upskill with AWS Training and Certification optimize with AWS Support and Managed Services and meet objectives with AWS Security Assurance Services. Our expertise and emerging technologies include AWS Partners AWS Sovereign Cloud AWS International Product and the Generative AI Innovation Center. Youll join a diverse team of technical experts in dozens of countries who help customers achieve more with the AWS cloud.

About AWS
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description we encourage candidates to apply. If your career is just starting hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.

Why AWS
Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture
Here at AWS its in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences inspire us to never stop embracing our uniqueness.

Mentorship & Career Growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledge-sharing mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home theres nothing we cant achieve in the cloud.


- 7 years of business intelligence and analytics experience
- 3 years of delivering results managing a business intelligence or analytics team including employee development and performance management experience
- Experience with SQL
- Experience with data visualization using Tableau Quicksight or similar tools
- Experience working with Data & AI related technologies including but not limited to AI/ML GenAI Analytics Database and/or Storage

- 4 years of working with very large data warehousing environment experience
- 10 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
- Experience with ETL
- Experience evaluating and adopting emerging AI technologies to improve team productivity and analytical output quality

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.

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 OR Portland - 143400.00 - 194000.00 USD annually
USA TX Austin - 143400.00 - 194000.00 USD annually
USA VA Arlington - 143400.00 - 194000.00 USD annually
USA WA Seattle - 143400.00 - 194000.00 USD annually