Job Title: Product managers
Location: Phoenix, AZ
Applicants must be legally authorized to work in the United States. Sponsorship is not available for this role.
Rate $45 to $48 on W2 ans $50 to $55 on C2C
100% onsite
Must Have:
Looker experience.
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. Strong understanding of data ecosystems, including data lakes/warehouses, metadata management 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 Platf) (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.