Senior Product Manager – Technical (PMT), ASP Insights

Amazon • Seattle, WA

22h

About The Position

Are you passionate about transforming complex data into business-defining insights? Do you thrive at the intersection of product strategy, advanced analytics, and cloud technology? If so, we want to hear from you. AWS Sales, Marketing, and Global Services (SMGS) Operations is looking for a Senior Product Manager – Technical (PMT) to join the ASP Insights team, supporting the AWS Specialists and Partners (ASP) Organization. In this high-impact role, you will partner with Sales Operations leaders, data analytics experts, and cross-functional stakeholders to design and deliver world-class analytical and reporting solutions that shape how AWS grows its global business. What We're Looking For: Proven experience in product management, with a track record of leading large-scale, end-to-end initiatives in a data or analytics context. Strong data analytics background, including hands-on experience with SQL, AWS-native tools, and large-scale datasets. Familiarity with machine learning, generative AI, and automation concepts and their application to business intelligence and reporting. Demonstrated ability to earn trust and influence across technical and non-technical teams in a global, matrixed organization. Experience owning the full product development lifecycle, including PR FAQs, BRDs, test plans, UAT, customer engagement, and stakeholder communications. Ability to work independently with limited guidance, delivering the right analytical solutions under ambiguity. A detail-oriented, problem-solving mindset with a passion for working with data at scale. Excellent project management skills and the ability to drive simple, scalable solutions to complex problems. Strong communication and customer-relationship skills, with the ability to advocate effectively for your team and customers. Why This Role: This role sits at the heart of how AWS understands and grows its Specialist and Partner business. You will directly influence the business mechanisms and cadences that drive decisions at scale — shaping strategy through data, building the insight products that empower field teams worldwide, and pioneering the integration of AI and automation into how AWS operates. You should apply if you are: Passionate about data, analytics, and building products that make a measurable business impact Energized by working in a fast-paced, global environment with high ownership and visibility Excited about the frontier of ML and generative AI applied to enterprise analytics Ready to roll up your sleeves, work directly with data models, and lead from the front

Requirements

• Proven experience in product management, with a track record of leading large-scale, end-to-end initiatives in a data or analytics context.
• Strong data analytics background, including hands-on experience with SQL, AWS-native tools, and large-scale datasets.
• Familiarity with machine learning, generative AI, and automation concepts and their application to business intelligence and reporting.
• Demonstrated ability to earn trust and influence across technical and non-technical teams in a global, matrixed organization.
• Experience owning the full product development lifecycle, including PR FAQs, BRDs, test plans, UAT, customer engagement, and stakeholder communications.
• Ability to work independently with limited guidance, delivering the right analytical solutions under ambiguity.
• A detail-oriented, problem-solving mindset with a passion for working with data at scale.
• Excellent project management skills and the ability to drive simple, scalable solutions to complex problems.
• Strong communication and customer-relationship skills, with the ability to advocate effectively for your team and customers.
• Bachelor's degree
• Experience with feature delivery and tradeoffs of a product
• Experience in representing and advocating for a variety of critical customers and stakeholders during executive-level prioritization and planning
• Experience in using analytical tools, such as Tableau, Qlikview, QuickSight
• Experience performing statistical analysis of data using SQL, Excel and other tools
• Experience in building and driving adoption of new tools
• Experience with concepts such as system architecture, optimization, system dynamics, system analysis, statistical analysis, reliability analysis, and decision making

Nice To Haves

• Master's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent
• Experience bridging technical and business teams to collect and refine requirements, prioritize incoming work requests, and ensure all committed work is delivered on time

Responsibilities

• Product Strategy & Ownership: Own the full product lifecycle — from writing PR FAQs and BRDs to roadmap definition, build, launch, UAT, and continuous improvement — for insight products that serve diverse personas across a global organization.
• Perform complex analyses to inform product strategy, design, and business priorities, presenting insights and recommendations to senior leadership.
• Identify opportunities for new metrics, techniques, and strategies to enhance targeting, measurement, and overall product capabilities.
• Contribute to strategic planning by authoring narratives, setting goals, and shaping engineering organization roadmaps.
• Data Analytics: Design and implement end-to-end reporting solutions, metrics, dashboards, and automated processes to drive key business decisions and track progress.
• Translate business needs into scalable solutions by integrating data from multiple back-end sources and dashboards, delivering actionable intelligence to ASP stakeholders.
• Gather and understand data requirements, working with cross-functional teams to achieve high-quality, scalable data solutions for products and business mechanisms.
• Collaborate with product managers, engineers, data scientists, and business stakeholders to understand strategies, goals, and objectives, and align the analytics roadmap accordingly.
• Communicate with clarity — translating complex analytical findings into concise, compelling narratives for both technical and non-technical audiences, written and verbal.
• Leverage data and analysis to surface insights that inform go-to-market decisions and scale the ASP business.
• AI, Automation & Innovation: Partner with business owners and central teams to integrate machine learning, Agentic AI, and automation into scaling programs and processes.
• Continuously improve reporting and processes, automating and scaling solutions while ensuring stability and performance.

Benefits

• 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
• parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level