Sr. Product manager (Product management, Semantic Layer, data engineering, analytics, GCP) in Phoenix

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Job Description

Role: Sr. Product manager (Product management, Semantic Layer, data engineering, analytics, GCP)

Location: Phoenix-AZ (Onsite- 4 to 5 days), F2F interview required

Term: Contract

,

Must Have Skills: Product management, Semantic Layer, data engineering, analytics, Google Cloud Platform (MicroStrategy, Tableau, Power Bi, Looker).

Role Description:

Product Manager to support the strategy, execution, and adoption of the Enterprise Semantic Layer, a foundational capability that enables consistent, trusted business definitions across analytics, reporting, data products, and emerging GenAl use cases.

This role will partner closely with the Senior Manager, Enterprise Semantic Layer, and work hands-on with data engineering, analytics, and business stakeholders to operationalize semantic standards, rationalize enterprise metrics, and improve the usability and trust of enterprise data.

The Product Manager will focus on execution, documentation, adoption, and continuous improvement of semantic models that underpin self-service analytics and data-driven decision making. The ideal candidate is intellectually curious, detail-oriented, and eager to build deep expertise in enterprise data and analytics products while operating within a highly regulated, large-scale environment.

Primary Responsibilities:

• Support the execution of the enterprise semantic layer roadmap, under the direction of the Senior Manager, including delivery of semantic models, metrics, and documentation.
• Maintain and evolve the enterprise metrics inventory, including KPI definitions, calculation logic, dimensions, hierarchies, and ownership metadata.
• Partner with analytics, Bl, and data engineering teams to identify conflicting or redundant metrics and support rationalization and standard zation efforts.
• Contribute to the onboarding and migration of existing dashboards, reports, and data products to approved semantic definitions.
• Develop and maintain clear, consumable documentation that improves discoverability, understanding, and reuse of enterprise metrics.
• Gather feedback from analysts, data scientists, and internal consumers to identify usability gaps and inform backlog prioritization.
• Support governance and review processes by ensuring semantic definitions align with approved policies, data quality standards, and compliance requirements.
• Track and report on adoption and effectiveness metrics, such as semantic reuse, reduction in metric discrepancies, and user satisfaction.
• Build foundational domain and technical knowledge to progressively take ownership of discrete semantic components or domains.
• Collaborate with data governance, risk, and compliance partners to ensure semantic definitions align with regulatory, privacy, and data quality requirements.
• Enable self service analytics by improving data usability, metric discoverability, and trust through well documented, versioned, and owned semantic models.
• (Drive adoption of the semantic layer by working with lines of business, analytics teams, and product owners to migrate and standardize existing metrics and reports.

Qualifications:

• Bachelor's degree in Computer Science, Information Systems, Business, or a related field.
• 4-5 years of experience in digital or data product management, with demonstrated experience in pl enterprise products.
• Ana strong understanding of data ecosystems, including data lakes/warehouses, metadata manageme analytics tools.
• Experience building or operating internal data platforms, data products, or data marketplaces is hi Strong understanding of data platforms, semantic layers, cloud technologies : Google Cloud Platform (MicroStrategy, Tableau, Power Bi, Looker).
• Proven ability to work across engineering, governance, and business teams in a highly regulated,
• environment.
• Technical fluency to partner effectively with engineering teams and make informed tradeoff deci
• Excellent communication and stakeholder management skills, with the ability to influence with Demonstrated expertise in Agile product management, backlog refinement, and sprint planning

If you are interested in applying for this job please press the Apply Button and follow the application process. Energy Jobline wishes you the very best of luck in your next career move.