Knowledge Engineering Manager / Senior Manager

Accenture

Confirmed live today High trust
Hybrid

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Work type
Hybrid
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
$94,400–$293,800 / yr
Employment
Full-time
Posted
1 day ago
Freshness
Confirmed live today
Nearby
99+ roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $204k
This role $194k
$70k $318k
below market most similar roles pay here above market

This role pays less than 59% of similar roles. Most pay $164,800–$242,212 — the blue band above. At the midpoint, this role pays about $194k versus about $204k 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 Manager / Senior Manager

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JOB TITLE: Knowledge Engineering Manager / Senior Manager The Knowledge Engineering Manager / Senior Manager leads industry digital-brain delivery within the Digital Core Reinvention practice. In this role, you will manage client engagements to discover and baseline industry-specific patterns, design and build ontologies, and oversee the lifecycle management of industry engines. You will develop Knowledge Graphs and Data Taxonomies to create agentic AI and data engines that encode vertical-specific entities, regulations, and rhythms. Key technical requirements include proficiency in knowledge-graph technologies, retrieval-augmented generation, and LLM-based systems. Candidates must possess experience in data modeling, symbolic modeling, and graph-based ML. The work focuses on building industry super-ontologies that allow AI systems to reason within specific verticals, such as insurance, communications, media, or retail, by encoding how those industries actually operate.

Skills

Knowledge Engineering LLM Retrieval-Augmented Generation Knowledge Graph Data Modeling Data Taxonomy Graph-based ML Symbolic Modeling Agentic AI Agile AI

What you'll do

  • Lead industry digital-brain delivery on client engagements.
  • Conduct discovery and baseline industry-specific patterns.
  • Design and build ontologies including Knowledge Graphs and Data Taxonomies.
  • Manage the lifecycle of industry engines to keep them current.
  • Encode industry-specific entities, regulations, and rhythms into AI systems.
  • Implement retrieval-augmented generation and knowledge-graph technologies.
  • Lead teams or workstreams within larger programs.

What we're looking for

  • Minimum of 5 years in knowledge engineering, data modeling, or industry data work.
  • Minimum of 1–2 years of hands-on experience with AI/LLM-based systems.
  • Minimum of 2 years of domain experience in insurance, communications & media, or retail.
  • Working fluency with knowledge-graph technologies and retrieval-augmented generation.
  • Minimum of 2 years leading a team or workstream within a larger program.
  • Minimum of 4 years of experience working in agile engineering or consulting teams.
  • Bachelor's degree, or an Associate's degree with 6 years of experience, or 12 years of work experience.
  • Agent context engineering over industry corpora (preferred).

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