Bachelor's or master's degree in Computer Science, Data Management, Information Systems, Engineering, Information Architecture, Knowledge Management, Data Science, or a related discipline.
10+ years of experience in a similar business capacity, demonstrating ownership and delivery of value.
Experience in complex business environments, leveraging knowledge and networks to deliver business value.
Proven ability to define strategy and prioritize work through cross-functional collaboration.
Strong skills in driving adoption and aligning stakeholders around common objectives.
Expertise in organizing business knowledge into reusable assets for analytics and AI solutions.
Responsibilities
Lead cross-functional projects related to Context Layer, Knowledge Graph, Semantic Layer, and AI initiatives.
Coordinate with business, governance, architecture, engineering, and platform teams during implementation.
Define and review requirements, manage execution plans, and monitor progress to ensure successful delivery.
Support pilot programs, MVP development, and enterprise-scale rollout activities.
Partner with data and technology teams to integrate semantic models into enterprise data architectures.
Monitor and audit knowledge graph quality, resolving inconsistencies in terminology and metadata.
Benefits
Career growth and development opportunities; supportive work culture.
Company paid health and wellness benefits.
Paid time off and paid holidays.
401K savings plan with company match.
Family building benefits.
Parental leave.
Full Job Description
A Snapshot of Your Day
As a Context & Knowledge Specialist, you will enable the business to realize value from the enterprise Semantic and Context Layer through the successful execution of strategic initiatives, transforming business priorities, processes, and information needs into scalable solutions that improve decision-making, operational efficiency, data usability, and AI readiness. Partners with business stakeholders, project teams, Knowledge Engineers, data governance teams, and technical architects to guide initiatives from ideation through implementation, providing both project leadership and hands-on technical execution to deliver semantic and contextual capabilities that make information easier to discover, understand, trust, and reuse across the organization. Bridge business and technology by combining business enablement, solution engineering, technical support, and implementation expertise, ensuring contextual knowledge assets are successfully delivered, adopted, operationalized, and continuously improved to generate measurable business outcomes and long-term organizational value.
How You'll Make an Impact
Lead / Engage in cross-functional projects supporting Context Layer, Knowledge Graph, Semantic Layer, and AI initiatives.
Coordinate business, governance, architecture, engineering, and platform teams throughout implementation.
Define and review requirements, manage execution plans, monitor progress, mitigate risks, and ensure successful delivery of business outcomes.
Support pilot programs, MVP development, and enterprise-scale rollout activities.
Partner with data and technology teams to integrate semantic models into broader enterprise data architectures and platform pipelines.
Monitor and audit knowledge graph quality, resolving inconsistencies in terminology and metadata definitions.
What You Bring
Bachelor's (or master's degree) in Computer Science, Data Management, Information Systems, Engineering, Information Architecture, Knowledge Management, Data Science, or a related discipline required.
Experience working within complex business environments, leveraging organizational knowledge, domain expertise, and professional networks to identify, capture, structure, and deliver business value.
10+ years' experience owning and delivering value in a similar business capacity.
Experience defining strategy, prioritizing work, and delivering business value through cross-functional collaboration.
Ability to drive adoption, establish ownership, and align stakeholders around common business objectives.
Ability to organize business knowledge, processes, and information into reusable assets that support analytics, automation, and AI solutions.
Applicants must be legally authorized for employment in the United States without need for current or future employer-sponsored work authorization. Siemens Energy employees with current visa sponsorship may be eligible for internal transfers.
About the Team
Gas Services
Our Gas Services division offers Low-emission power generation through service and decarbonization. Zero or low emission power generation and all gas turbines under one roof, steam turbines and generators. Decarbonization opportunities through service offerings, modernization, and digitalization of the fleet.
Rewards
Career growth and development opportunities; supportive work culture
