Manager – Data Product Manager

🕒 April 1

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Tiger Analytics

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2011

🤖 Artificial Intelligence

🤝 B2B

Artificial Intelligence • B2B • Consulting

Tiger Analytics is a leading AI and analytics consulting firm that specializes in leveraging data science and machine learning to provide strategic business insights across various industries. They offer services in data strategy, AI engineering, and business intelligence to enable data-driven decision-making and digital transformation for their clients. Tiger Analytics collaborates with top technology partners like Microsoft, Google Cloud, and AWS to deliver cutting-edge solutions. They serve a diverse range of sectors including consumer packaged goods, healthcare, and finance, helping businesses operationalize insights and differentiate with AI and machine learning technologies.

📋 Description

• 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.

🎯 Requirements

• 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.

🏖️ Benefits

• Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.