AI SDLC Transformation Manager

Accenture; Boston (MA); On-site; USD 94,000 - 245,000; Full time

Job summary

Accenture is seeking an AI SDLC Transformation Manager to redesign software delivery for AI-native workflows and agentic systems. You will map value streams, identify waste, and craft roadmaps for enterprise clients across the SDLC from define to architecture validation.

The role requires deep experience with flow metrics, multi-agent/LLM-enabled systems, and consulting with large engineering organizations. Travel may be required.

Qualifications

• Minimum of 5 years across the full SDLC with ability to map and redesign delivery processes.
• Minimum of 3 years designing or building multi-agent or LLM-integrated systems.
• Minimum of 3 years in a consulting/advisory role with enterprise-scale engineers.
• Minimum of 3 years applying flow metrics as diagnostic tools (cycle time, WIP, throughput).
• Minimum of 2 years working with AI/ML systems, LLMs, or agentic architectures.
• Bachelor’s degree or equivalent; 12 years of work experience if no degree.

Responsibilities

• Value stream mapping and flow metric analysis to identify waste in SDLC.
• Design AI-native to-be processes that accelerate how software is defined and governed.
• Guide change management for teams transitioning to AI-augmented workflows.
• Strategize agentic systems for upstream SDLC phases: requirements, design review, architecture validation.
• Translate AI tooling and MCP concepts into actionable enterprise roadmaps.
• Collaborate across product, engineering, QA, security, and platform teams.

Skills

Flow metrics analysis

SDLC

AI-native workflows

LLM integration

Consulting experience

Change management

Education

Bachelor's degree or equivalent

Tools

GitHub Copilot

Job description

We Are:

Strategic Technology Effectiveness, part of Accenture's Technology Strategy & Transformation Organization. We rebuild how large enterprises define, design and govern software, and we design and implement the agentic software and processes that run it. That work changes the operating model an engineering organization runs on, the ways of working underneath it, and the tooling that makes both of those real.

You Are

The AI SDLC Transformation Manager guides enterprise clients on redesigning software delivery to be AI-native. You’ve spent real time in software delivery, not just studying it. You know what broken looks like at the process level, and you know what good looks like when AI is woven deliberately rather than bolted on.

The Work

This role applies flow metric analysis to surface waste in existing processes, designs future-state AI-native workflows, and builds agentic systems for upstream SDLC phases (define, design, requirements). The Advisor brings deep fluency in the evolving AI tooling landscape and translates what digitally native engineering organizations are doing into actionable roadmaps for enterprise clients.

Role-Specific Responsibilities:

• Value stream mapping and flow metric analysis (cycle time, flow efficiency, WIP, throughput) to identify waste in existing SDLC practices


• Design of AI-native to-be processes that restructure and accelerate how software is defined, designed, and governed


• Change management for engineering teams transitioning to AI-augmented workflows


• Strategy and design of agentic systems targeting upstream SDLC phases: requirements generation, user story synthesis, design review, and architecture validation


• Know how and where to use creator and reviewer agent patterns and the token impact of doing so.


• Model SDLC as a system, identifying feedback loops, bottlenecks, and second-order effects of process changes


• Cross-functional perspective spanning product, engineering, QA, security, and platform


• Ability to maintain fluency in the rapidly evolving AI tooling ecosystem (coding assistants, agentic platforms, evaluation frameworks, MCP/tool orchestration)


• Ongoing research practice tracking capability shifts, new model releases, and emerging practitioner patterns


• Expertise in what digitally native organizations are doing today and ability to translate those benchmarks into actionable roadmaps for enterprise clients


• Ability to influence clients to change and modernize processes that limit the positive impact of agentic ways of working and overall SDLC

Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements.

Here’s WhatYou Need:

• Minimum of 5 years working across the full SDLC, requirements through release, with demonstrated ability to map, measure, and redesign delivery processes


• Minimum of 3 years of hands‑on experience designing or building multi‑agent or LLM‑integrated systems, including prompt engineering, tool‑use orchestration, or agentic application development


• Minimum of 3 years in a consulting or advisory capacity working with engineering organizations, ideally at enterprise scale (5,000+ employees or $1B+ revenue)


• Minimum of 3 years applying flow metrics (cycle time, WIP, throughput, flow efficiency) or value stream mapping as active diagnostic tools, not just frameworks you’ve presented on


• Minimum of 2 years working directly with AI/ML systems, LLMs, or agentic architectures in a professional, not just experimental, context


• Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate’s Degree, must have minimum 6 years work experience)

Bonus points if you have

• Hands‑on experience with 2+ leading AI coding assistants (GitHub Copilot, Cursor, Amazon Q Developer, Cody) in enterprise environments


• Experience designing lightweight LLM evals for AI‑generated SDLC artifacts( requirements docs, user stories, design reviews)


• Working knowledge of Model Context Protocol (MCP) and emerging tool orchestration standards


• Fluency in at least one major delivery methodology (Agile, SAFe, continuous delivery) with a clear point of view on where AI creates the most leverage


• Track record of presenting AI transformation strategies to VP‑or C‑level stakeholders and getting buy‑in

Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below. We anticipate this job posting will be posted until 11/30/2026.

Accenture offers a market competitive suite of benefits including medical, dental, vision, life, and long‑term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off.

U.S. Employee Benefits | Accenture

Role Location Annual Salary Range

• California $94,400 to $266,300


• Cleveland $87,400 to $213,000


• Colorado $94,400 to $230,000


• Columbus $87,400 to $213,000


• Connecticut $94,400 to $230,000


• District of Columbia $100,500 to $245,000


• Illinois $87,400 to $230,000


• Maine $80,400 to $196,000


• Maryland $94,400 to $230,000


• Massachusetts $94,400 to $245,000


• Minnesota $94,400 to $230,000


• New York $87,400 to $266,300


• New Jersey $100,500 to $266,300


• Virginia $87,400 to $245,000


• Washington $100,500 to $245,000

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