Knowledge Engineering Associate Director

Accenture

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Chicago, ILMilwaukee, WIDallas, TXColumbus, OHKirkland, WACincinnati, OHNew York, NYCleveland, OHOklahoma City, OKAustin, TXAlbany, NYSt. Pete, FLHartford, CTPittsburgh, PASt. Louis, MOMiami, FLSacramento, CARaleigh, NCMinneapolis, MNMountain View, CAScottsdale, AZSan Francisco, CAMorristown, NJDenver, COBoston, MAPhiladelphia, PADes Moines, IAOverland Park, KSLos Angeles, CACharlotte, NCWalnut Creek, CACarmel, CASeattle, WAHouston, TXArlington, TXAtlanta, GAOrlando, FLRedmond, WABentonville, ARBeaverton, ORNashville, TNDetroit, MISan Diego, CA
Salary
$163,000–$434,000 / yr
Employment
Full-time
Posted
5 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $247k
This role $298k
$130k $467k
below market most similar roles pay here above market

This role pays more than 77% of similar roles. Most pay $204,862–$289,487 — the blue band above. At the midpoint, this role pays about $298k versus about $247k 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.

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At a glance

TL;DR · Knowledge Engineering Associate Director

The Knowledge Engineering Associate Director serves as the technical owner of enterprise knowledge engineering services within the Digital Core Reinvention practice. This role involves owning the methodology for scaled ontology creation, semantic-layer design, and knowledge-agent patterns while managing an asset portfolio of ontology templates and entity-resolution patterns. The successful candidate will define the technical point of view, defending semantic layer value to executives and modeling decisions to architects. Key responsibilities include building the enterprise ontology to turn raw data into contextualized knowledge. Required expertise includes knowledge engineering, semantic web, and ontology design, with specific experience in RDF, SPARQL, SHACL, property graphs, and enterprise graph databases. Candidates must possess a background in AI/LLM-based work, retrieval-augmented generation, and agent context engineering to solve complex data meaning problems.

What you'll do

  • Own and evolve the methodology for scaled ontology creation and semantic-layer design.
  • Define and sign off on knowledge-agent patterns and enterprise knowledge engineering services.
  • Manage the asset portfolio including ontology templates and semantic serving reference architectures.
  • Articulate the technical value of the semantic layer to both CFOs and technical architects.
  • Defend and evolve the public technical argument for engineered meaning in AI systems.
  • Lead the development of the enterprise ontology to turn raw data into contextualized knowledge.
  • Provide technical leadership and oversight for all knowledge engineering engagements.

What we're looking for

  • Minimum of 10 years in knowledge engineering, semantic web, ontology design, or adjacent data disciplines.
  • Minimum of 2 years of experience specifically on AI/LLM-based work.
  • Minimum of 6 years with knowledge-graph technologies (RDF, SPARQL, SHACL, property graphs) and enterprise graph databases.
  • Minimum of 6 years of managerial or discipline-leadership experience.
  • Minimum of 2 years of experience publishing or speaking publicly in the discipline.
  • Minimum of 3 years owning a productized offering, platform, or methodology.
  • Bachelor's degree, or equivalent (minimum 12 years work experience), or Associate's degree with minimum 6 years work experience.

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