(Senior) Data & AI Product Analyst | Banking

You will drive the strategic transformation of data, reporting, and AI capabilities within securities services to deliver high-impact business intelligence and intelligent workflow solutions. Partnering with cross-functional teams, you will design scalable data platforms, standardize key metrics, and modernize client-facing reporting environments. Your contributions will directly enhance operational efficiency, strengthen risk management controls, and enable transparent, AI-driven analytics that position the organization as a market leader in digital securities servicing.

Responsibilities

• Assess data and AI readiness across strategic platforms through comprehensive gap, quality, and lineage analysis.
• Document business requirements, user stories, and functional specifications for enterprise web portals and data solutions.
• Design end-to-end process maps integrating source systems, data platforms, and AI orchestration layers with clear control points.
• Collaborate with agile delivery pods, data teams, and technology partners to prioritize backlogs and roll out scalable features.
• Execute robust testing strategies, regression checks, and model output validations in alignment with governance standards.
• Define standard performance metrics, operational KPIs, and automated reporting dashboards for business stakeholders.
• Deliver user training and workshops to promote data literacy, safe AI usage, and self-service analytics adoption.
• Research emerging industry capabilities, including predictive analytics, intelligent exception handling, and agentic workflows.
• Support multi-domain digital transformation initiatives spanning client onboarding, liquidity analytics, and regulatory reporting.

Requirement

• Degree in Business, Finance, Technology, Data/Analytics, or a related discipline.
• Minimum 5 years of change management or product delivery experience in financial services.
• Strong track record in business analysis, process re-engineering, and working within Agile development squads.
• Domain expertise in securities services, treasury and liquidity, or asset owner operations.
• Hands-on proficiency with business intelligence tools such as Power BI, Tableau, or Cognos alongside SQL.
• Practical familiarity with cloud platforms, JIRA, Confluence, and modern REST APIs.
• Solid understanding of data governance, metadata frameworks, and AI/ML model integration principles.
• Excellent stakeholder management skills with proven ability to communicate complex concepts across business and IT teams.
• Relevant professional certifications such as PSPO, CSPO, PMP, or Lean Six Sigma.