Manager/ Sr. Manager - Data Product Management - Supply Chain

Tiger Analytics; Plano (TX); On-site; USD 130,000 - 160,000; Full time

Job summary

A leading analytics consulting firm in Texas seeks an experienced Data Product Manager to drive the development and scaling of enterprise data products. This role requires 8–12 years of progressive experience in product management and data analytics. Responsibilities include translating business needs into analytics solutions, managing projects, and collaborating globally. Strong expertise in cloud platforms, SQL, and Agile methodologies is essential. Candidates with a graduate degree in Business Analytics or an MBA will find excellent career development opportunities.

Qualifications

• 8–12 years of experience in product management and analytics.
• Minimum 7 years of experience as Data Product Manager or Senior Business Analyst.
• Proven experience in the full lifecycle of data products.

Responsibilities

• Translate business problems into high-level analytics solutions.
• Manage analytics projects and collaborate with global teams.
• Oversee data solutions ensuring efficient delivery.

Skills

Cloud platforms expertise (AWS preferred)

Advanced SQL proficiency

Agile methodologies

Data migration and modernization

Data modeling and architecture understanding

Leadership and team management

Effective communication skills

Education

Graduate degree in Business Analytics or MBA

Tools

JIRA

Snowflake

MongoDB

Job description

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.

We are seeking a strategic and execution-focused Data Product Manager to lead the development, modernisation, and scaling of enterprise data products. This role will sit at the intersection of business, data engineering, analytics, and technology, translating complex business needs into scalable data solutions that drive measurable impact.

Responsibilities:

• 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.
• Strong expertise in cloud platforms (AWS preferred) and modern data ecosystems, including Snowflake, MongoDB, or similar technologies.
• 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 working in Agile environments, including backlog management, sprint planning, estimation, and delivery using tools such as JIRA.
• 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.

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.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.