Data & AI Practice Leader (AWS) | Mid‑Market Growth

Accenture PLC; Seattle (WA); On-site; USD 174,000 - 340,000; Full time

Job summary

Accenture Edge for AWS is seeking a Tech Practice Leader – Data and AI to build and lead the practice serving mid-market companies up to $3B in annual revenue.

This leader owns the practice vision, offerings portfolio, architecture standards, delivery model, reusable assets, talent strategy, and governance required to modernize data foundations, deliver analytics and machine learning solutions, and scale secure, responsible generative AI and agentic AI applications on AWS.

Qualifications

• 15+ years in data, analytics, AI, cloud architecture or related fields.
• 5+ years leading a Data and AI practice with 25–50 staff.
• Proven $50–$100M annual Data and AI bookings experience.
• 5+ years AWS Data and AI architecture experience.
• Bachelor's degree or equivalent (min 12 years).

Responsibilities

• Define the Data and AI strategy, offerings portfolio, investment priorities, operating model, delivery capacity, ecosystem partnerships, and growth roadmap.
• Lead offerings across data strategy, data platforms, lakehouse and data mesh, data migration, governance, integration, BI, analytics, ML, and AI operations.
• Own bookings and revenue growth with $50M–$100M annual practice bookings and collaborate with Sales.
• Act as senior technical and commercial sponsor for priority deals and ensure value realization.

Skills

Data & AI strategy

Leadership

Presales solutioning

Executive communication

AWS data services

Education

Bachelor's degree or equivalent

Tools

SageMaker

Bedrock

Data mesh

AI governance tooling

Job description

Accenture Edge for AWS is seeking a Tech Practice Leader – Data and AI to build and lead the practice serving mid-market companies up to $3B in annual revenue.

This leader owns the practice vision, offerings portfolio, architecture standards, delivery model, reusable assets, talent strategy, and governance required to modernize data foundations, deliver analytics and machine learning solutions, and scale secure, responsible generative AI and agentic AI applications on AWS.