Opportunity

Senior Data Product Manager - Analytics Consulting in Columbus

Location Columbus
Company Tiger Analytics Inc.
Source weworkremotely
Posted 2026-08-19 20:38:12

Career & Market Insight

This is a senior-level, high-ownership role at a fast-growing analytics consultancy with Fortune 100 clients. The 8–12 year experience requirement and VP-level stakeholder expectations position this firmly at the Manager/Senior Manager tier, likely with a path to Director.

Compensation context: Tiger Analytics does not disclose salary here. Market benchmarks for Senior Data Product Managers at analytics consultancies range from $130K–$175K USD annually (North America), with variability based on location. The lack of transparency is a mild yellow flag worth clarifying in interviews.

Skills you'll build:

  • Enterprise data product lifecycle management — highly transferable to FAANG and Fortune 500 roles
  • GCP cloud architecture exposure — in-demand across industries
  • Stakeholder management at the C-suite/VP level — critical for Director and VP career steps
  • Cross-functional team leadership across engineering, analytics, and business units

Green flags: Global client exposure, recognized by Forrester and Gartner, genuine end-to-end ownership, and explicit mention of significant career development. The entrepreneurial environment suggests fast promotions for high performers.

Watch for: Consulting roles often involve demanding client deadlines and travel. The broad responsibility scope (from SQL to executive presentations) signals a generalist-heavy environment — excellent for breadth, but confirm whether you'll have depth support from specialist team members.

Headquarters: Toronto, Ontario, Canada

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.

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.

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.

To apply: https://weworkremotely.com/remote-jobs/tiger-analytics-inc-manager-sr-manager-data-product-manager

Frequently Asked Questions

Is this Data Product Manager role fully remote?
Yes — the role is listed as open to applicants anywhere in the world. Tiger Analytics collaborates with globally distributed teams, though some North American timezone overlap may be needed for client-facing responsibilities.
What experience level is required for this position?
The role requires 8–12 years of progressive experience across product management, data analytics, and data science, with a minimum of 7 years specifically in Product or Data Product Manager roles owning end-to-end data initiatives.
What technical skills are needed for this role?
Advanced SQL proficiency and a strong understanding of data modeling and architecture are required. Hands-on experience with Google Cloud Platform (GCP) is preferred, along with familiarity with analytics frameworks and machine learning techniques.
What does career growth look like at Tiger Analytics?
The posting explicitly mentions significant career development opportunities as the company grows, with a high degree of individual responsibility and an entrepreneurial environment — signals of a merit-based, fast-track growth culture.
Is a specific degree required to apply?
A graduate degree in Business Analytics, MBA, or equivalent professional experience is listed as a requirement, indicating flexibility for candidates with demonstrated expertise in lieu of formal credentials.
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