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Tier‑1 brand, mid-level product role, metro location, and broad data skillset attract many qualified applicants.
Core data product and analytics skills are transferable across industries, though banking governance adds moderate domain bias.
Explicit 5+ years requirement plus mandatory data product, SQL/Python/cloud skills raise shortlisting strictness to high.
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Lead and manage complex, cross-functional data product initiatives to enable data capabilities across platforms and utilities.
Develop and maintain data product roadmaps, specifications, and lifecycle management while ensuring adherence to data governance and standards.
Serve as a strategic liaison among data management, product, engineering, and architecture teams to design and implement innovative data products and analytics solutions affecting broad organizational impact.
5+ years of experience in data product or data management roles (work experience, training, military experience, or education).
Experience with data governance and standards compliance.
Work Experience Required: 5+ years in data product or data management.
Notice Period: Not explicitly mentioned in the JD.
Experienced in leading large-scale analytics and data product management projects with strong strategic influence on prioritization and roadmaps.
Proficient in advanced data technologies including SQL, Python, cloud platforms (Azure, AWS, GCP), big data technologies, and data governance frameworks.
Skilled at collaborating with cross-functional teams, managing complex datasets, and mentoring junior team members to deliver data-driven business insights.