Manager/ Sr. Manager - Data Product Manager

Tiger Analytics; Toronto; On-site; CAD 100,000 - 135,000; Full time

Job summary

A leading analytics consulting firm in Toronto is seeking an experienced Data Product Manager to lead the development and scaling of enterprise data products. Candidates should have 8-12 years in product management and analytics, a graduate degree in Business Analytics or MBA, and advanced SQL skills, contributing to impactful data solutions. The role demands collaboration with various stakeholders and the ability to present complex analytics solutions. This position offers significant career development opportunities within a fast-growing environment.

Qualifications

• 8-12 years of experience in product management, data analytics, and data management.
• Minimum 7 years in Product roles or Data Product Manager capacity.
• Proven experience owning end-to-end data product lifecycles.
• Advanced SQL proficiency and data modeling knowledge.
• Demonstrated leadership in data migration projects.

Responsibilities

• Translate business problems into analytics solution designs.
• Develop end-to-end solutions for efficient data delivery.
• Manage analytics projects and oversee resource allocation.
• Ensure accessibility of data cataloguing for stakeholders.
• Build data roadmaps to support global data initiatives.

Skills

Product management

Data analytics

Data science

Data management

SQL proficiency

GCP

Communication skills

People leadership

Stakeholder engagement

Analytical thinking

Education

Graduate degree in Business Analytics, MBA, or equivalent professional experience

Tools

GCP

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

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.

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.