Work directly with client stakeholders to translate business problems into high-level analytics solution designs
Develop customer understanding through customer data, contributing to the overall analysis of the consumer path to purchase
Develop end-to-end solutions based on an in-depth understanding of business problems to ensure analytics solutions are delivered efficiently, predictably, and sustainably
Responsible for managing analytics projects, collaborating with client stakeholders and Tiger’s team situated globally
End-to-end Data + Analytics delivery execution ownership and optimization of resource assignment, sequencing, and allocation
Oversee the design, building, and managing of how business-ready data lives within the Enterprise Data Foundation
Drive coordination between Domains, Products and Projects to help drive reuse and reduce redundancy/duplication in the D+A and broader client portfolio
Responsible for making presentations to senior management, communicating results to business teams, and developing plans to help operationalize analytic solutions
Build data roadmaps to meet hydration targets and support timely delivery for global data initiatives and programs
Ensure data cataloguing in the Data Foundation is accessible to business stakeholders
Work with program Technical Data Product Managers to ensure expectations from D+A are managed and to eliminate disconnects regarding what can be addressed
8–12 years of progressive experience across product management, data analytics, data science, and data management within business-facing environments
Minimum 7 years of experience in Product roles or in a Data Product Manager or Senior Business Analyst capacity with ownership of end-to-end data initiatives
Proven experience owning the full lifecycle of data products — from ideation, business case development, and roadmap definition to MVP launch, scaling, and continuous optimization
Demonstrated experience leading data migration and modernization programs (e.g., legacy to cloud-based architectures)
Advanced SQL proficiency with strong understanding of data modeling, data architecture, and analytics frameworks
Hands-on experience with GCP is preferred
Proven ability to translate complex business requirements into structured epics, user stories, and technical documentation that enable efficient cross-functional delivery
Experience collaborating with cross-functional teams including Product Owners, Data Engineers, Developers, Testers, and Analytics teams
Strong executive presence with the ability to engage VP-level and senior stakeholders, translating business problems into high-level analytics and data solution approaches
Demonstrated ability to identify high-value analytics opportunities across core business domains (e.g., marketing, risk, operations) and define measurable paths to value realization
Experience driving innovative, business-oriented solutions using advanced analytics, feature engineering, and machine learning techniques
Strong people leadership capabilities, with experience building, mentoring, and managing multi-level teams
Excellent communication skills, with the ability to simplify complex technical concepts for both data & analytics teams and non-technical business stakeholders
Graduate degree in Business Analytics, MBA, or equivalent professional experience