Business Product Manager-Assistant Vice President

Overview

Business Product Manager-Assistant Vice President within the Enterprise Data Office and Product Solution team, ensuring accurate, timely and fit-for-purpose data for business, risk management and regulatory reporting.

What you'll do

• Understand Derivatives and SFT data flows within Citi and analyse derivatives products and SFT across systems for target state adoption and resolution of data gaps and issues.
• Lead assessment of end-to-end data flows for all data elements used in Regulatory Reports.
• Document current and target state data mapping and produce gap assessment.
• Coordinate with the business to identify critical data elements, define standards and quality expectations, and prioritise remediation of data issues.
• Identify appropriate strategic source for critical data elements.
• Design and implement data governance controls, including data quality rules and data reconciliation.
• Design systematic solutions for elimination of manual processes and adjustments and remediation of tactical solutions.
• Prepare detailed requirement specifications containing calculations, data transformations and aggregation logic.
• Perform functional testing and data validations.
• Document product data flows along with transformation, mapping, enrichment and logic within enterprise systems.
• Engage with Markets, Risk, Finance, Tech, Client organisation and Data Engineering teams to gather requirements, understand application processing, identify gaps and design solutions.

What you'll need

• 9+ years of combined experience in banking and financial services industry, information technology and/or data controls and governance.
• Extensive experience in Capital Markets business and processes.
• Deep understanding of Derivative products (i.e., Equities, FX, IRS, Commodities etc.) or SFT (Repo, Reverse Repo, Securities Lending and Borrowing).
• Strong data analysis skills using Excel, SQL, Python, Pyspark etc.
• Leverage AI-powered tools (e.g., AutoML, Python libraries) to clean, analyse and visualise data from structured and unstructured sources.
• Well versed with Prompt Engineering and Automation utilising GenAI and LLMs.
• Experience with data management processes and tools and applications, including process mapping and lineage toolsets.
• Actively managed various aspects of data initiatives including analysis, planning, execution and day-to-day production management.
• Ability to identify and solve problems throughout the product development process.
• Analytical thinking: ability to break down complex data structures and processes to identify issues and develop logical models that meet business needs.
• Strong knowledge of structured and unstructured databases, data modelling, data management, rapid or iterative development methodologies and data governance tools.
• Strong understanding of data governance issues, policies, regulatory requirements and industry information affecting the business environment.
• Demonstrated stakeholder management skills.
• Excellent communication skills with technical and non-technical stakeholders, including requirement gathering and clear documentation.
• Excellent presentation, business and technical writing, and verbal communication skills to support decision-making and actions.
• Excellent problem-solving and critical thinking skills to recognise and comprehend complex data flows and designs.
• Self-motivated and able to dynamically determine priorities.
• Data visualisation skills to create visual representations of data models and provide input to UX/UI teams.

Nice to have

• Engineering graduate with post-graduation in Finance.

Details

• Location: Pune, Maharashtra, India.
• Employment type: Full time.
• Working environment: office setting, minimal travel required.
• Effort: minimal physical effort required.