Job Summary

Our vision is to improve the employee experience and increase value to the firm by leveraging the power of our data and the best tools to analyze data, generate insights, save time, improve processes & control, and lead the organization in developing skills of the future. You are able to think beyond raw data and understand the underlying business context and opportunities hidden in data. Your passion lies in eliminating user tools, saving time and increasing the ability to generate insights through data, dashboards, and developing new capabilities.

As a Data & Analytics Solutions- Vice President for the Finance Data and Insight (FDI) Marketing Area Product, you will help execute on Data and Analytical Solution related Product development strategy. You will help guide, influence, monitor, track, and report on product development strategy, roadmap, outcomes, and provide routine and executive-level status updates to your product team and stakeholders using best practice agile methods (i.e., JIRA, JIRA Align) and professional summary presentations. You will collaborate with your product team members, technology, engineering, data owner and design partners using both existing and cutting-edge software solutions helping to guide and steer a new product to be used by Marketing Finance & Business Management teams to answer routine and complex financial/business questions. You will demonstrate your proven experience in Product, Analytical Solution or Technology management and will have extensive experience managing development and delivery of new tools and solutions using cloud-based tools (i.e., AWS, Databricks and Thought Spot).

Job Responsibilities

• Executes on Data and Analytical Solution related Product development strategy and outcomes for product, complexity/dependency, risk/compliance and internal/external customer experience impact

• Plan and executes Product delivery roadmaps aligned to overall Product vision using careful analysis of customer needs, competitive intelligence, data/analytics, firm’s capabilities and financials

• Coordinate with Business stakeholders to analyze business requirement and build the backlog for Tech for development.

• Facilitate collaboration with cross-functional product and area product leads. Engages and leverages key product group partners (Design, Data Owner, Tech Architect, Engineering, Data/Analytics etc.) early enough and often in the area product development strategy and provides access to customers to deliver value.

• Partners on software product development and tech build to create quality and scalable features/solutions including contributing to team through the writing of user stories

• Executes area product workflow through JIRA. Prioritizes and sequences backlog considering audit/controls, data landscape, data center migration, resiliency, etc., coordination of release dates and is responsible for area backlog and health as part of overall product.

• Understand underlying technology that drives product. This includes ownership for tech assets needed for product development (full view expectation to help drive end-to-end ownership and the assumption of the tech debt that builds up over time based on decision making)

• Lead & develop AI / ML and Agentic Solution delivery

• Mange stakeholder expectation, roadmap planning, priority setting, Management reporting.

Design and implement comprehensive and efficient data product / data mart / Analytical solution that consolidate key data categories from various source systems, tailored to the needs of the Marketing Finance & Business Management functions.

Required qualifications, capabilities and skills

• 10+ years of broad Product Management, Data Product Management and Analytics Solutions

• Bachelor’s Degree in Computer Science, Information Systems, Finance MIS, or related field

• Experience in managing complex Product leveraging complex data and models in a fast-paced, dynamic environment.

• Ability to set and manage accountabilities and expectations at all levels - team members, peers, business partners and senior management

• Strong track record of leading dynamic team, delivering challenging initiatives using expert-level program/product/function management skillset

• Proven leadership and influencing skills and ability to collaborate across a highly matrix organization

• Experience in designing and implementing scalable and efficient data mart architectures, including star schema, snowflake schema, and other data modeling techniques.

• Exposure to statistical techniques such as regression, hypothesis testing, time series analysis, and clustering to analyze business data and uncover insights.

• Good understanding of P&L / Finance in general.

Preferred Qualifications

• Demonstrated Senior leadership in terms of attitude, initiative and inclusivity

• Product Management Experience

• Experience with Python, Databricks, Snowflake, or other Cloud Data Warehouse, Data Engineering, Data Modeling, ERWIN

• Agile backlog management tools (JIRA, Confluence)

• Added advantage to have Thought Spot, Tableau, Alteryx, or Essbase experience, understanding of Credit Card Business.