Knowledge Engineering Associate Director
accentureFranklin (TN)
Knowledge Engineering Associate Director
Posted today
accentureFranklin (TN)
SENIORITY
Manager
About the role
Overview:
In this role you lead Code Archaeology as the technical owner of evidence-first discovery. You shape the methodology, tooling, and quality bar that underpins enterprise modernization programs. You will manage asset portfolios, including knowledge graphs and language-coverage roadmaps, and serve as the public technical voice through talks and client discussions. You work with cross-functional teams to ensure rigorous, evidence-based transformation of legacy code and processes. This is a high-impact, technology-forward opportunity to define how AI-enabled reinvention accelerates value for large enterprises. Compensation / Benefits medical dental vision life long-term disability 401(k) plan
Responsibilities:
Own the evidence-first discovery methodology, including the five discovery domains and the handoff to architecture Define scope boundaries for archaeology engagements and defend against scope drift Own archaeology tooling, knowledge graph pipelines, and language-coverage roadmap, ensuring asset consumption or contribution on engagements Decide which assets are standardized and productized within the asset portfolio Lead as the public technical voice of the discipline through conferences, client councils, and thought leadership initiatives
Key requirements:
Minimum 12 years in enterprise software engineering with significant brownfield modernization at multi-million-LOC scale Minimum 3 years leading large-scale architectural discovery or modernization engagements with at least one as named technical owner 5+ years fluency with knowledge graphs and ontology modeling (Ontology, Knowledge Graph, Data Taxonomy) plus static analysis, dependency analysis, and Git history mining 2+ years hands-on work with LLM-assisted code analysis Minimum 3 years of experience leading development, commercialization, or ongoing evolution of a productized offering with roadmap or business outcomes accountability Bachelor's degree or equivalent work experience (or 6 years for Associate's Degree) Executive-level communication with clients Clear defensible point of view on AI frontier and industry timelines Knowledge graphs and ontology modeling Static analysis and dependency analysis Git history mining LLM-assisted code analysis
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