iLink Digital

Compensation

Full Description

Key Responsibilities Product Strategy & Roadmap • Define and own the data product vision, strategy, and multi-quarter roadmap aligned with business objectives. • Identify opportunities to create new data products or enhance existing ones based on stakeholder needs and market trends. • Prioritize product backlog and features using data-driven frameworks Stakeholder Management • Act as the primary liaison between business units (Finance, Marketing, Operations, etc.) and data engineering/analytics teams. • Facilitate workshops, discovery sessions, and regular reviews to align stakeholders on requirements and progress. • Communicate product updates, metrics, and outcomes clearly to executive leadership. Delivery & Execution • Write clear user stories, acceptance criteria, and data requirements documentation. • Partner with data engineers, analysts, and architects to deliver reliable, well-documented data pipelines and datasets. • Drive Agile ceremonies including sprint planning, retrospectives, and backlog grooming. Data Governance & Quality • Champion data quality standards, metadata management, and data catalog adoption across the organization. • Collaborate with data governance teams to ensure compliance with data privacy regulations (GDPR, CCPA). • Define and monitor key data quality KPIs and SLAs for all owned data products. Required Qualifications • 7+ years of experience in product management, data product ownership, or a related role. • Strong understanding of data concepts: data modeling, data warehousing, ETL/ELT pipelines, and BI tools. • Proficiency with SQL and experience interpreting complex datasets to drive decisions. • Demonstrated experience working in Agile/Scrum environments with tools such as Jira, Confluence, or Azure DevOps. • Excellent communication skills with the ability to convey technical concepts to non-technical audiences. • Experience with cloud data platforms such as Snowflake, Databricks, Google BigQuery, or AWS Redshift. • Proven track record of delivering data products at scale that deliver measurable business value. Preferred Qualifications • Experience with data mesh, data lakehouse, or federated data architectures. • Familiarity with data observability tools such as Monte Carlo, Soda, or Great Expectations. • Background in machine learning product development or MLOps workflows. • Certifications such as CSPO, PMP, or relevant cloud certifications (AWS/GCP/Azure). • Experience in a regulated industry (Financial Services, Healthcare, or Retail). Requirements PREFERRED QUALIFICATIONS • Experience with data mesh, data lakehouse, or federated data architectures. • Familiarity with data observability tools such as Monte Carlo, Soda, or Great Expectations. • Background in machine learning product development or MLOps workflows. • Certifications such as CSPO, PMP, or relevant cloud certifications (AWS/GCP/Azure). • Experience in a regulated industry (Financial Services, Healthcare, or Retail).