EMEA Partner Lead, Data Foundations for AI, EMEA Partner Specialist team

Amazon Web Services (AWS) is looking for a world class partner strategy leader to join the EMEA Partner Specialist team to lead the partner strategy for Data — the database, analytics, and data services that form the foundation of the AI stack. As an EMEA Partner Lead, Data Foundations for AI, you will have an exciting opportunity to deliver on our strategy to accelerate adoption of the AWS data layer within partners of all types. You will help them identify and create data use cases and capabilities across the value chain — from getting data onto AWS and modernising it onto purpose-built engines, to unifying it in an Iceberg-native lakehouse, governing it for AI, and consuming it through AI-powered analytics — developing and executing go-to-market and enablement plans that lead to a healthy business pipeline, joint customer wins and market success.

Where a customer’s data lives determines where their AI runs. In this role, you will work with partners to help them establish AWS databases and analytics as the persistence and intelligence layer for every AI and agentic workload, building growth-oriented and strategically focused offerings that deliver on these customer and market expectations. In this endeavor, you will collaborate with a number of AWS internal teams including partner managers, solution architects, sales, BD, marketing, and solution teams to position and deliver these capabilities internally and to customers. The AWS Partner organization will look to you as the expert on the data domain, partner types, use cases, and how to drive AWS market success through partners. You will also act as a mentor to regional Data and Analytics experts, bringing your substantial experience in coaching and guiding the team into delivering customer and partner success.

Focus Areas

The EMEA Data Foundations for AI Partner Lead will focus on the following actions to address the data partner needs in the EMEA territory:

1. Identify industry-specific and horizontal data use cases and solution offerings across the six pillars — database migration and modernisation, Iceberg-native lakehouse, vector and agent-memory workloads, data governance, and AI-powered analytics — in the EMEA region;

2. Actively engage with mature and emerging Data & Analytics partners whose offerings align to these use cases (e.g. lakehouse and analytics ISVs such as ClickHouse, Snowflake, Neo4j and SAS positioning AWS-native alternatives against Databricks Unity Catalog and Snowflake-mediated Iceberg);

3. Identify and recruit horizontal or niche data partners we need in the ecosystem;

4. Lead enablement of our partner ecosystem (ISVs, SIs and GSIs) on native AWS data offerings including Amazon Aurora and Aurora DSQL, Amazon DynamoDB, Amazon Redshift, Amazon S3 Tables / Iceberg REST, AWS Lake Formation, and AWS Glue, and drive attainment of the new AWS Data Competency (launching at Partner Equip London, Sep–Oct 2026);

5. Enablement of the ASP organization on AWS and technology-partner data services and solutions. Success will be measured by # net new “must win” partners building Data Foundations for AI practices, # partner practitioners enabled on Data in EMEA (via PDM/PSA or PDS), # partners solutions launched, # customer references / case studies , # thought leadership (tech content, public speaking), # AO + PO Launched $ARR.

Role could be based in other EMEA AWS offices.

Key job responsibilities

• Develop and lead the partner strategy and execution plan to grow the AWS-based Data partner community in EMEA
• Drive AWS Data Competency attainment — guiding DB SDP partners, existing Data & Analytics competency partners, and high-propensity AI-only partners through cross-skill validation
• Collaborate with AWS teams and with partners to bring data solutions to market to meet customer needs, with measurable ROI results
• Prioritise AWS engagement with partners who focus on the data domain, including leading startups, consulting companies, and established ISV technology vendors
• Build C-level relationships with our top data partners
• Work with cross-functional groups in AWS to deliver training, enablement and go-to-market programs that scale the partner business across the data domain

About the team

Diverse Experiences

Amazon 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.

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.

Inclusive Team Culture

AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and

empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative

teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to

everything we do.

Mentorship and Career Growth

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endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-

rounded professional.

Basic Qualifications:

• Experience in business development, partner development, sales or alliances management
• Experience that includes strong analytical skills, attention to detail, and effective communication abilities
• Master's degree or above in management, business administration, economics, engineering, marketing
• 15+ years of sales, consulting, partner management, or business development in the databases, analytics, and data platform space.

Preferred Qualifications:

• Experience in building data and analytics practices with consulting partners for other technology providers.
• Experience with AWS partners and understanding of the AWS partner ecosystem.
• Understanding of prevailing business and technology trends and solutions in data, analytics and AI space that either inhibit or accelerate enterprise adoption across different use cases.

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