Senior Manager of Engineering - Accenture

Accenture Company Limited; Hong Kong; On-site; HKD 1,000,000 - 1,600,000; Full time

Job summary

Accenture is seeking a Senior Manager of Engineering to lead a major knowledge engineering scope within a large program. You will shape real-world problems into scalable AI and KG solutions, set technical direction, and lead a team through exploration, model building, and implementation of cutting-edge methodologies.

You will design, evaluate, and maintain ontologies, justify the business value to stakeholders, and establish data architectures and methodologies, contributing to end-to-end

Qualifications

• Bachelor's degree or equivalent, plus relevant KG/ML experience.
• 3+ years with Knowledge Graph technologies (RDF, SPARQL, LPG, SHACL).
• 3+ years in schema design, ontology management and KG curation.
• 3+ years designing and developing KG solutions and graph-based ML models.
• 2+ years end-to-end data pipeline implementations for AI apps (LLMs).
• 4+ years knowledge of relational databases, object stores, graph databases and vector databases.
• 2+ years leading a team or workstream within a larger program.

Responsibilities

• Leads build of Knowledge Graph solutions within program scope.
• Directs design, development, and implementation of AI/semantic solutions.
• Collaborates with project leaders and client stakeholders to create graph-powered Data & AI offerings.
• Develops strong client relationships and earns trust of key advisors.
• Makes business case for semantic layer solutions to clients.
• Contributes to Accenture sales and pre-sales efforts.
• Provides thought leadership on tech trends, opportunities, risks.

Skills

Knowledge Graphs

Ontology Design

KG ML models

Data pipelines for AI/LLMs

Relational/Graph databases

Team leadership

Education

Bachelor's degree or equivalent

Tools

Stardog

Neo4J

Amazon Neptune

RDF

SPARQL

SHACL

Job description

Senior Manager of Engineering - Accenture

You lead a significant knowledge engineering scope and function within a large program; actively contribute to thought leadership. You shape how a substantial body of work formulates real-world problems into scalable AI and KG solutions, and set the technical direction for that scope. You lead a team and guide exploration and implementation of new methodologies, model building techniques, and cutting-edge algorithms. You remain at the forefront and drive innovation by applying these techniques to new business problems, use cases, and scenarios. You design, evaluate, and maintain ontologies, and establish the standards others follow. You justify the value to business and technology stakeholders, and construct the methodologies and data architectures that demonstrate it. You publish or present perspective beyond the immediate project. You work across business and technical teams to drive end-to-end delivery for their scope.

THE WORK

• Leads the build of Knowledge Graph solutions that transform a client's data architecture within program scope.
• Directs the design, development, and implementation of AI and semantic solutions, ensuring all the pieces work together seamlessly.
• Works with project leaders, delivery leads, and client stakeholders to create stand-out, graph-powered Data & AI offerings.
• Develops strong client relationships and earns the trust of key advisors.
• Makes the business case for the semantic layer solution recommended to the client.
• Contributes meaningfully to Accenture sales and pre-sales efforts.
• Provides thought leadership on technology trends, new opportunities, innovations, and foreseeable limitations, risks, and concerns.

Qualifications

BASIC (REQUIRED) QUALIFICATION

• Bachelor's degree or equivalent, plus at least 4 of the following:
• Minimum 3 years of experience with Knowledge Graph technologies (RDF, SPARQL, LPG, SHACL)
• Minimum 3 years of experience in schema design, ontology management, and KG curation
• Minimum 3 years of designing and developing KG solutions and graph-based ML models (functional + technical)
• Minimum 2 years of experience with end-to-end data pipeline implementations for AI applications (esp. LLMs), with hands-on design and configuration
• Minimum 4 years of experience with strong knowledge of relational databases, object stores, graph databases (Stardog, Neo4J, Amazon Neptune), and vector databases
• Minimum 2 years of experience in leading a team or workstream within a larger program

Unlock job insights

Hirer responsiveness Salary match Number of applicants

Consulting Services More than 10,000 employees

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent and innovation-led company serving clients in more than 120 countries. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent and innovation-led company serving clients in more than 120 countries. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.