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High — Tier-1 brand, metro location, popular mid-level product role with broad applicant pool.
Medium — analytics product skills are transferable, but payments and governance preference raises domain bias.
High — explicit 2–5 years plus mandatory SQL, BI and data governance requirements.
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Own product operations including go-to-market planning, user onboarding, platform maintenance, and continuous improvement of data quality and insights delivery.
Lead data governance initiatives by defining and monitoring data quality standards, validation frameworks, and ensuring reliable analytics outputs.
Utilize SQL and Python to perform data analysis, automate reporting and workflows using AI agents, coordinate cross-functional teams, and manage JIRA tasks for product support and data issues.
Bachelor’s degree in business, data science, information technology, or equivalent work experience.
2–5 years related experience in product management, data governance, or analytics, preferably in Financial Services, Payments, or Data Analytics domains.
Strong hands-on SQL skills required; working knowledge of BI tools like Power BI/Tableau and tools such as Jira, Confluence.
Experience with AI tools (GitHub Copilot, MS Copilot) and Python programming is a plus.
Experience in agile product management of analytical or BI products with a focus on data-driven decision making and feedback integration.
Ability to lead cross-functional collaboration across product, engineering, data, sales, and regional teams to enhance product data quality and customer insights.
Proficient in automating workflows using AI agents, managing data governance, and presenting to both internal stakeholders and clients.