Knowledge Engineering Associate Director

Accenture PLC

New York (NY)

On-site

USD 151,000 - 434,000

Full time

3 days ago

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Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401(k) plan

Paid holidays

Paid time off

Job summary

Accenture is seeking an Associate Director to own Code Archaeology, the evidence-first discovery methodology, and the development of the asset portfolio. You will lead the technical voice, manage client engagement conversations, and guide thought leadership in AI-enabled transformation.

The role requires deep enterprise software experience, leadership in large modernization efforts, and clear ownership of a productized offering, with travel as needed.

Qualifications

Minimum 12 years in enterprise software engineering.
At least 3 years leading large-scale architectural discovery or modernization engagements.
5+ years with knowledge graphs and ontology modeling; plus static analysis, dependency analysis, and Git history mining.
2+ years hands-on work with LLM-assisted code analysis.
Minimum 3 years leading productized offerings with documented roadmaps and outcomes.
Bachelor's degree or equivalent (minimum 12 years) work experience.

Responsibilities

Methodology Ownership: own the evidence-first discovery methodology and its scope.
Asset Portfolio Ownership: own archaeology tooling and knowledge-graph pipelines.
Technical Point of View Leadership: serve as the public technical voice and lead thought leadership.
Travel may be required; travel level varies 0%–100% based on business need.

Skills

Knowledge graphs

Ontology modeling

LLM-assisted code analysis

Code archaeology

Architectural discovery

Executive client communication

Software architecture recovery

Education

Bachelor's degree or equivalent (12+ years)

Tools

Mainframe COBOL

PL/I

Git history mining

Knowledge graph pipelines

Job description

About Accenture

Accenture helps the world's leading enterprises reinvent by building their digital core and unleashing the power of AI to create value at speed for organizations across industries. Our strategy is to be the reinvention partner of choice for our clients and lead in the safe, widespread adoption of AI, and to be the most client-focused, AI-enabled, great place to work in the world. We bring together the talent of our approximately 814,000 people with proprietary assets and platforms, deep process and industry expertise, and leading ecosystem relationships to deliver end-to-end solutions and measurable outcomes at scale. Through our Reinvention Services, we offer broad expertise across Cybersecurity, Digital Core, Finance, Industry and Enterprise, Song, Supply Chain and Engineering, and Talent, with advanced capabilities in AI and Data, Industry and Process, and Technology. We serve approximately 9,000 clients and generated approximately $74 billion in FY26 revenue. Visit us at accenture.com.

About Accenture

We Are

Accenture is recognized as a global leader in AI and cloud transformation, helping businesses across industries reimagine the digital core for an AI-native operating model. Through partnerships with frontier AI labs such as Anthropic and OpenAI, and the leading cloud providers, Accenture delivers end-to-end services that drive innovation and business agility. The Digital Core Reinvention practice does work few others attempt: methodically excavating what is actually inside an enterprise's code and process before anyone dares to transform it. Code Archaeology is that discipline - AI agents digging through millions of lines of legacy so the transformation stands on evidence, not folklore.

You Are

A senior practitioner who would rather spend a week inside a million lines of COBOL than a day inside a tidy summary and who is ready to own the discipline itself: the methodology, the tooling, the quality bar, and the named technical point of view we put in front of clients and the market. This is the senior technical track at Accenture: we hire people here who would rather own a methodology than carry a number.

The Work

As an Associate Director in this family, you are the technical owner of Code Archaeology. Concretely, that means three things at once:

Methodology Ownership

Own the evidence-first discovery methodology, including the five discovery domains, correlation across them, and the discovery-to-architecture handoff.
Define what is in scope and out of scope for archaeology engagements.
Defend the methodology against scope drift from both technical and business perspectives.

Asset Portfolio Ownership

Own the archaeology tooling, knowledge graph pipelines, and language-coverage roadmap, including mainframe-era languages.
Ensure every major engagement either consumes or contributes to the asset portfolio.
Decide which assets should be standardized and productized.

Technical Point of View Leadership

Serve as the public technical voice of the discipline.
Lead conference presentations, client architecture councils, and technical thought leadership initiatives.
Shape and communicate the market perspective on why excavation must precede transformation.

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 What You Need

Minimum of 12 years in enterprise software engineering, including significant brownfield modernization at multi-million-LOC scale.
Minimum of 3 years leading large-scale architectural discovery or modernization engagements, with at least one you can speak to in detail as the named technical owner.
5+ years working fluency with knowledge graphs and ontology modeling ( skill matrix for this family: Ontology, Knowledge Graph, Data Taxonomy), plus static analysis, dependency analysis, and Git history mining.
2+ years of hands-on work with LLM-assisted code analysis.
Minimum 3 years of experience leading the development, commercialization, or ongoing evolution of a productized offering, platform, or reusable methodology, with direct accountability for its roadmap, adoption, or business outcomes
Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate's Degree, must have minimum 6 years work experience).

Professional Skills

Demonstrated ability to walk into a client executive's office and earn the room on technical depth alone.
A clear, defensible point of view on the current AI frontier - what's real, what's hype, what matters in 18 months - that you can articulate publicly.

Bonus Points If You Have

Published or spoken on AI-augmented code analysis, code archaeology, or software architecture recovery.
Experience with retrieval-augmented generation over code corpora and agent context engineering.
Mainframe-era language fluency (COBOL, PL/I) alongside modern stacks - the estates that need this most are the oldest ones.
Comfort being outranked on pipeline conversations and outvoting on technical ones.
A track record of editing methodology the way engineers edit code.
Frontier-partner relationships (Anthropic, OpenAI, hyperscaler AI organizations, or equivalent).

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 12/04/2026.

Benefits

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. See more information on our benefits here: U.S. Employee Benefits | Accenture.

Role Location Annual Salary Range