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High: Tier‑1 brand, mid-level product title, metro location, and broad technical-product skillset increase competition.
Medium: analytics and product management skills transfer across industries, but payments and governance experience preferred.
High: explicit 2–5 years requirement plus mandatory SQL and analytics/product experience filter candidates strictly.
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Manage product operations with a focus on data-driven decision making, including go-to-market planning, user onboarding, and platform maintenance.
Drive data governance initiatives by defining data quality standards, validation frameworks, and monitoring mechanisms to ensure accuracy and reliability of insights.
Leverage SQL, Python, and AI tools to analyze data, automate workflows, manage feedback, and coordinate cross-functional teams for continuous product enhancement.
2–5 years of related work experience, preferably in Financial Services, Payments, or Data Analytics domains.
Bachelor’s degree in business, data science, information technology, or equivalent work experience.
Strong hands-on SQL skills mandatory; working knowledge of BI tools (Power BI/Tableau) and tools like Jira, Confluence, MS Office.
Experience with data governance, data quality frameworks, and automation using Python or similar technologies (Python knowledge is a plus).
Experience in agile product management of analytical products and business intelligence solutions.
Ability to drive data governance and product enhancement through data analysis, AI automation, and cross-functional coordination.
Demonstrated skills in handling complex data issues, presenting insights to stakeholders, and translating user feedback into actionable product improvements.