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Tier-1 brand and metro location increase competition, but seniority and Snowflake/data-product specialization narrow the pool.
Medium because data product skills transfer, but HR domain and Snowflake focus increase domain bias.
High because role requires domain-specific Snowflake and data-product governance experience.
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Lead design and governance of semantic data models for enterprise-wide HR analytics and self-service insights.
Translate stakeholder needs into actionable business and functional requirements for Snowflake-based data products.
Coordinate testing, validation, change-management, and drive data quality improvement through issue analysis and stakeholder collaboration.
Experience translating business needs into requirements for data or analytics products, preferably in cloud data platforms or Snowflake.
Ability to collaborate with technical teams on data design, semantic-modeling, testing, and solution validation.
Understanding of data governance, data quality standards, and scalable semantic model design.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in interfacing between business stakeholders and technical teams to deliver data product requirements and solutions.
Skilled at managing end-to-end delivery including testing, rollout, and ongoing data product maintenance in a complex enterprise HR context.
Comfortable operating at the intersection of business strategy, detailed requirements, and technical execution within cloud data environments.