below marketmost similar roles pay hereabove market
This role pays more than
86%
of similar roles. Most pay
$174,950–$236,625
— the blue band above.
At the midpoint, this role pays about
$266k
versus about
$206k
for comparable roles.
Based on 240 similar postings.
Employer
About Accenture
Accenture is a leading global professional services company specializing in IT, strategy, consulting, and operations, with a strong focus on digital transformation, cloud computing, and artificial intelligence.
Accenture currently has
174 open roles
on FindRole.
Listed pay typically runs
$94,400–$266,300
across 128 roles with salary data.
Accenture Edge for AWS is seeking a Tech Practice Leader – Data and AI to build and lead a practice serving mid-market companies. This leader owns the practice vision, offerings portfolio, architecture standards, and delivery model to modernize data foundations and scale secure, responsible generative AI and agentic AI applications on AWS. You will build repeatable offerings across data strategy, lakehouse and data mesh architectures, data migration, and business intelligence. Key responsibilities include leading strategic pursuits, managing revenue growth, and establishing thought leadership. You will utilize technologies including Amazon Bedrock, Amazon SageMaker AI, retrieval-augmented generation, and AI operations. The role solves complex business problems by industrializing AI delivery, ensuring data quality, and governing responsible AI controls while developing technical talent and establishing reusable patterns for model evaluation and security.
Define and lead the Data and AI practice strategy, including portfolio development, investment priorities, and growth roadmaps.
Drive annual revenue growth by identifying opportunities, qualifying use cases, and converting assessments into production pipelines.
Act as a senior technical sponsor for high-priority deals by overseeing architecture, risk controls, and executive presentations.
Develop and package scalable Data and AI solutions to optimize AWS Marketplace presence and co-sell opportunities.
Build market demand through account-based campaigns, executive briefings, workshops, and industry-focused sales plays.
Establish thought leadership by publishing research on generative AI, data governance, and responsible AI economics.
Industrialize delivery by creating reusable patterns for RAG, agentic workflows, and MLOps lifecycle operations.
Manage talent development by building capability frameworks, certification paths, and mentoring programs for technical teams.
What we're looking for
Minimum 15 years of experience in data, analytics, AI, machine learning, cloud architecture, technology consulting, or transformation delivery.
Minimum 8 years of hands-on experience in data platform, analytics, ML, generative AI, or AWS architecture and delivery.
Minimum 5 years of experience leading and scaling a Data and AI practice, organization, center of excellence, or similar team of 25–50 professionals.
Proven accountability for $50M–$100M in annual Data and AI bookings and revenue.
Minimum 5 years of experience delivering at least 15 data, analytics, ML, or AI engagements, including at least 5 production AI or generative AI solutions.
Minimum 5 years of expertise in AWS Data and AI architecture, including SageMaker, Bedrock, RAG, and responsible AI.
Minimum 5 years of experience leading complex pursuits and executive workshops with field CTO credibility for C-suite leaders.
Bachelor's degree or equivalent (minimum 12 years work experience) or Associate’s Degree with minimum 6 years work experience.