Knowledge Graph / Data Engineering - Manager

$100,000 - $232,000/Yr

PricewaterhouseCoopers - Dallas, TX

Full-time - Manager

Dallas, TX

Professional, Scientific, and Technical Services

About the position

The Knowledge Graph/Data Engineering Manager at PricewaterhouseCoopers (PwC) is responsible for leading a team that addresses complex business issues related to data governance and management. This role involves developing and implementing data governance strategies, managing projects, and ensuring effective information management practices to protect client data. The manager will work closely with clients and internal teams to deliver innovative solutions that enhance data protection and compliance in a rapidly evolving landscape.

Responsibilities

• Lead and manage data governance projects, defining strategy and roadmap, operating model, policies, and tool design.
• Develop and implement data governance strategies and practices in an enterprise setting.
• Analyze complex ideas or proposals and build meaningful recommendations.
• Coach team members and encourage ownership of their development.
• Manage business development opportunities from pre-sale to final delivery.
• Collaborate with cross-functional teams to ensure successful project delivery.
• Provide technical guidance and mentorship to junior team members.
• Stay updated with industry trends and advancements in knowledge graph technology.

Requirements

• Bachelor's degree in a relevant field.
• Minimum of 5 years of experience in data governance and management.
• Proven experience in leading data governance projects and teams.
• Strong knowledge of data governance frameworks and best practices.
• Experience with data analysis and enterprise metadata management.
• Proficiency in RDF, OWL, and SPARQL standards.
• Familiarity with data visualization tools such as Tableau and Power BI.
• Strong communication and interpersonal skills.

Nice-to-haves

• Certification in Data Governance & Stewardship Professional (DGSP) or Certified Data Management Professional (CDMP).
• Experience with cloud platforms like AWS, Azure, or Google Cloud Platform.
• Knowledge of machine learning and natural language processing techniques.
• Experience with ontology modeling and semantic web technologies.

Benefits

• Paid holidays
• Health insurance
• Dental insurance
• 401(k)
• Vision insurance