Amazon

DESCRIPTION

Amazon Web Services (AWS) Applied AI Solutions accelerates our customers' businesses by delivering intuitive and differentiated technology solutions that solve enduring business challenges.

We blend vision with curiosity and Amazon's real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with

solutions that are no-brainers to buy and easy to use.

Amazon Connect in Applied AI Solutions is transforming customer experience through a unified data and knowledge foundation that powers AI-driven human experiences. Our vision goes beyond

traditional customer service to create fluid, anticipatory experiences where interfaces adapt to predicted needs in real-time. We're reimagining how companies interact with their customers

through agentic AI experiences that dissolve the rigid boundaries between customer support, websites, mobile apps, and physical experiences into seamless, conversational journeys.

AWS Applied AI Solutions team is seeking the Head of Product for Customer Data and Insights, a highly visible leadership role driving our vision for AI-powered human experiences. You will

lead our strategy to create a unified data and knowledge foundation that enables agentic AI to deliver personalized, proactive customer experiences at every touchpoint.

In this role, you'll shape how companies evolve from reactive to proactive customer engagement by building a comprehensive data strategy across three critical layers:

1. Customer Data Foundation - A unified customer profile that captures not just static information but dynamic signals across every touchpoint, creating a multidimensional portrait that

evolves with each interaction

2. Knowledge Data Layer - The contextual intelligence that transforms raw customer data into meaningful understanding by encoding the company's collective knowledge into a semantic network

3. Model Context Protocol Layer - The intelligent bridge that connects data and knowledge, delivering insights and actions that adapt in real-time and seamlessly orchestrate AI agents,

humans, and applications

The ideal candidate should have experience in data privacy, big data analytics, data lakes, and strength in data-related infrastructure concepts. You'll help customers address the critical

challenge where companies spend 80% of their time collecting, cleaning, and organizing data before they can generate valuable insights, with poor data quality costing over $12.9M per

company annually.

You will lead our strategy to help enterprises capture, organize, enrich, and take action on their data and knowledge assets, unlocking the promise of generative AI-powered experiences that

deliver measurable business outcomes. Your vision will enable experiences where customers simply express needs and the right information, guide, or product materializes in the most

appropriate, personalized form in real-time.

Key job responsibilities

• Own the product strategy and roadmap for our Customer Data and Insights portfolio, ensuring alignment with our vision for unified data, knowledge, and AI capabilities
• Drive the development of solutions that transform how companies interact with their customers through agentic AI experiences
• Lead the strategy for integrating customer data and knowledge layers through Model Context Protocol to enable contextual, AI-powered experiences
• Design transformative applications for key business personas (marketers, sales professionals, and customer service agents) that leverage unified customer data to drive better outcomes
• Ensure our products support both fully automated and human-assisted AI use cases through high-quality data foundations
• Partner with C-suite executives at Fortune 500 companies to help them implement comprehensive data strategies that unlock the promise of generative AI-powered experiences
• Build and lead a high-performance organization focused on delivering measurable business value through data and AI innovation
• Drive investment ROI and technology strategy decisions that position AWS as the leader in AI-powered customer experience solutions

About the team

We are a collaborative organization with diverse backgrounds, start-up creativity, and an enduring curiosity and tenacity to make the world a better place for our customers and the world at

large. Join us in building the future where AI-powered human experiences through unified data and knowledge transform how companies engage with their customers, creating business outcomes

that were previously impossible.

BASIC QUALIFICATIONS

• Bachelor's degree in computer science or engineering required. MBA preferred
• 15+ Years of delivering product results
• 10+ years focus on customer data platforms, AI/ML technologies, or customer experience solutions
• Proven track record building transformative applications for business users, particularly marketing, sales, and customer service personas
• Experience designing intuitive interfaces and workflows that help business users leverage complex data and AI capabilities without technical expertise
• Deep understanding of the unique needs and challenges of marketing teams (campaign optimization, audience targeting), sales organizations (lead scoring, opportunity management), and

customer service operations (case resolution, agent productivity)

• Deep understanding of data architecture, including real-time data processing, identity resolution, and knowledge management systems
• Experience with AI technologies and their application to customer experience use cases
• Strong knowledge of data privacy regulations and best practices across global markets
• Track record of successful executive-level customer engagements and strategic partnerships
• Proven ability to translate complex technical concepts into compelling business value propositions
• Experience building and leading high-performing product teams in fast-paced environments
• Strong judgement and business acumen in determining strategic vision and running a complex, multivariate business
• Demonstrated leadership and strong judgement in managing growth and diversity in a fast-expanding organization

PREFERRED QUALIFICATIONS

• Experience successfully partnering with and communicating effectively to C-suite Executives on highly strategic programs
• Proven track record of solving large scale data and security/privacy challenges
• Experience with big data concepts such as data lakes, map-reduce/spark, machine learning, and real time data management systems
• Experience building products with Cloud services, preferably AWS
• Pragmatic understanding of big data/analytics applications and distributed system optimization
• Proven ability to distill durable market trends to insightful product vision in highly ambiguous emerging markets
• Track record of delivering organization transformation in support of digital technology and business outcomes
• Understanding of pricing and financial analysis
• Experience building products and GTM in consumer data related applications such as advertising and marketing, media and entertainment, financial services and healthcare and life sciences.

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.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $179,300/year in our lowest geographic market up to $309,900/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.