Knowledge Engineering Manager / Senior Manager

Accenture PLC; Redmond; In loco; AUD 170.000 - 270.000; Tempo pieno

Vantaggi offerti da questo lavoro

Medical insurance

Dental coverage

Vision coverage

401(k) plan

Paid holidays

Paid time off

Descrizione del lavoro

Accenture is seeking a knowledge engineer to lead industry digital-brain delivery, encompassing ontology design with Knowledge Graphs and data taxonomies. You will guide discovery, pattern baselining, and lifecycle governance across client engagements.

The role requires 5+ years in related fields, domain experience, and strong knowledge-graph and RAG skills. Travel may be needed; base location varies with client needs.

Competenze

• 5+ years in knowledge engineering, data modeling, or industry data work with 1–2 years on AI/LLM-based projects.
• 2+ years of domain experience in insurance, communications & media, or retail—at an operator, analyst firm, or consulting practice.

Mansioni

• Lead industry digital-brain delivery on a client engagement, including discovery and baseline of industry-specific patterns.
• Design and build ontology (Knowledge Graph and Data Taxonomy) and manage its lifecycle.
• Oversee lifecycle management to keep industry engine current; provide governance across engagements.
• Senior Manager: hold authority across engagements in the vertical; travel may be required (0–100%).

Conoscenze

Knowledge engineering

Data modeling

AI/LLM work

Team leadership

Agile engineering

Formazione

Bachelor’s degree or equivalent

Strumenti

Knowledge Graph

RAG tech

Descrizione del lavoro

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

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.

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 builds industry super-ontologies: industry- and ecosystem‑specific agentic AI and data engines that encode how a vertical actually operates — its entities, its regulations, its rhythms — so AI systems can reason inside the industry rather than about it.

You Are

A knowledge engineer with an industry lean — you want your ontologies to encode how a real vertical works, and you’re happiest when the graph disagrees with the org chart and turns out to be right. You belong here even if you haven’t spent years in AI. Much of what makes a great practitioner in this work was learned somewhere adjacent — strong credentials in the neighboring discipline plus a year or two of serious hands‑on work with LLM‑based systems is exactly the profile we grow.

The Work

At the Manager grade you lead industry digital‑brain delivery on a client engagement: discovery and baseline of industry‑specific patterns, ontology design and build (Knowledge Graph and Data Taxonomy, in skill terms), and the lifecycle management that keeps an industry engine current.

At the Senior Manager grade you hold authority across engagements in the vertical. We assess that fit at interview, not at requisition.

This is a joint posting covering Manager (CL7) and Senior Manager (CL6) grades, with Accenture’s one‑level lift at the firm’s discretion.

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 5 years in knowledge engineering, data modeling, or industry data work, with at least 1–2 years specifically on AI/LLM‑based work.
• Minimum of 2 years of domain experience in insurance, communications & media, or retail — at an operator, an analyst firm, or a consulting practice serving the industry.
• 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 equivalent (minimum 12 years) work experience. (If Associate’s Degree, must have minimum 6 years work experience).

Professional Skills

• AI‑adjacent experience counts toward the bars above: strong credentials in the neighboring discipline combined with 1–2 years of hands‑on LLM work is exactly the profile we grow.

Bonus Points If You Have

• Agent context engineering over industry corpora.
• Experience with regulatory or compliance‑driven modeling.
• Graph‑based ML alongside symbolic modeling.

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.

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.

Salary ranges by location

• California $94,400 to $293,800
• Colorado $94,400 to $253,800
• Connecticut $94,400 to $253,800
• District of Columbia $100,500 to $270,300
• Illinois $87,400 to $253,800
• Maine $80,400 to $216,200
• Maryland $94,400 to $253,800
• Massachusetts $94,400 to $270,300
• Minnesota $94,400 to $253,800
• New York $87,400 to $293,800
• New Jersey $100,500 to $293,800
• Ohio $87,400 to $235,000
• Virginia $87,400 to $270,300
• Washington $100,500 to $270,300

Requesting an Accommodation

Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

Equal Employment Opportunity Statement

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Other Employment Statements

Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.

Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.

Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Further, at Accenture a criminal conviction history is not an absolute bar to employment.

The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company’s legal duty to furnish information.

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