Back
Tier-1 employer, metro location, and mid-level product role increases candidate competition.
Skills are transferable across industries but financial compliance and CAO domain increase specificity.
Explicit 5+ years requirement plus domain-specific data governance, analytics, and product leadership expectations.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Lead complex, cross-functional data product initiatives with broad organizational impact, including strategic planning and roadmap development for data enablement.
Design, maintain, and optimize scalable data products, pipelines, and governance frameworks across multiple platforms ensuring adherence to data governance and standards.
Serve as strategic liaison between data management, product, engineering, and architecture teams while leading projects and mentoring junior consultants to deliver data intelligence and analytics solutions.
5+ years of data product or data management experience (including equivalent via training, military, or education).
Proficiency in SQL and Python/R programming with experience in advanced analytics, data analysis, and data engineering.
Experience with cloud platforms (Azure, AWS, or GCP), Google Data Cloud stack, big data technologies, and knowledge of metadata management and data governance.
Not explicitly mentioned: mandatory degree, specific certifications, onsite or location constraints, notice period requirements.
Experienced in leading large-scale analytics or data product transformations with ability to influence strategic data decisions and roadmap prioritization.
Skilled in designing and implementing data pipelines, scalable models, governance frameworks and applying machine learning, AI, and Gen AI techniques.
Comfortable operating independently managing multiple workstreams with strong stakeholder collaboration and mentoring capabilities in an agile project management environment.