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

DESCRIPTION

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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 organization's 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 5–10 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 5–10 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. You’ll 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, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Why AWS?

Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s 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, it’s 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

We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll 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, there’s nothing we can’t achieve in the cloud.BASIC QUALIFICATIONS

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• 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

PREFERRED QUALIFICATIONS

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• 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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t 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 https://amazon.jobs/en/benefits.

USA, OR, Portland - 143,400\.00 - 194,000\.00 USD annually

USA, TX, Austin - 143,400\.00 - 194,000\.00 USD annually

USA, VA, Arlington - 143,400\.00 - 194,000\.00 USD annually

USA, WA, Seattle - 143,400\.00 - 194,000\.00 USD annually