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Added 4 mins ago
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Reimagined Parking

Senior Data Product Manager

Canada

Pay: Compensation: CA$92,000 - CA$105,000 / year
Job type: Full-time
Experience: Proven experience (2 years) as a Data Product Manager or similar role in a technology-driven environment.
Posting language: English
Posted: Sep 22, 2026

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Original job description

Application Deadline: 16 October 2026

Department: Technology - Product Development(TEC009)

Location: 1RGHPD00_Product Development_Canada

Compensation: CA$92,000 - CA$105,000 / year

Description

At Reimagined Parking, we believe great people drive great results. That’s why we prioritize our teams, champion a positive culture, and relentlessly pursue excellence.

We are seeking an experienced and commercially minded Senior Data Product Manager to lead the strategy, development, and growth of Reimagined Parking’s commercial data products.

This role is responsible for identifying opportunities to turn Reimagined Parking’s data, analytics, and insights into differentiated products and services that create measurable value for customers and the business.

The Senior Data Product Manager will own the product vision, strategy, roadmap, and lifecycle for commercial data products, working closely with customers, business leaders, commercial teams, data engineering, data science, analytics, and software development.

The role combines product management, data strategy, customer discovery, and commercial development. The successful candidate will understand customer problems and market opportunities, translate them into compelling data products, and work cross-functionally to bring those products to market and continuously improve them.

In addition to developing external-facing data products, this role will identify opportunities to leverage data products and analytics to improve Reimagined Parking’s revenue, operational performance, customer experience, and decision-making.

Key Responsibilities

Commercial Data Product Strategy

Define the vision and strategy for Reimagined Parking’s commercial data product portfolio.
Identify and evaluate opportunities to transform proprietary data, analytics, and insights into products and services that deliver customer and commercial value.
Develop product business cases, including target customers, value propositions, use cases, competitive differentiation, revenue potential, and investment requirements.
Maintain a prioritized product roadmap aligned with customer needs, market opportunities, and company strategy.
Establish product success metrics and measure customer adoption, engagement, revenue contribution, retention, and other key business outcomes.

Customer & Market Discovery

Partner with customers, prospects, sales, marketing, and business leaders to understand customer needs, pain points, and emerging market opportunities.
Conduct product discovery to validate customer problems and determine where data can provide meaningful competitive advantage or business value.
Translate customer and market insights into clear product requirements, use cases, and product opportunities.
Develop a deep understanding of the competitive landscape and evolving expectations for data, analytics, and intelligence products.
Establish ongoing customer feedback loops to inform product development and prioritization.

Data Product Development

Own the end-to-end product lifecycle, from opportunity identification and discovery through development, launch, adoption, optimization, and retirement.
Translate business and customer needs into product requirements, user stories, acceptance criteria, and measurable outcomes.
Work closely with data engineering, data science, analytics, software engineering, and technology teams to deliver scalable and reliable data products.
Ensure data products are intuitive, actionable, performant, and fit for their intended customer use cases.
Balance customer requirements, commercial opportunity, technical feasibility, data availability, and time-to-market when prioritizing product investments.
Define and manage product launches, releases, enhancements, and ongoing product improvements.

Data Commercialization & Monetization

Identify opportunities to commercialize Reimagined Parking’s data assets through new products, services, insights, APIs, reporting, analytics, and other data-enabled offerings.
Partner with commercial leadership to support product positioning, packaging, pricing, sales enablement, and go-to-market strategies.
Develop compelling product value propositions that clearly articulate the business outcomes customers can achieve.
Evaluate opportunities for new revenue streams and expansion within existing customer relationships.
Monitor product and market performance to identify opportunities for growth, product expansion, and improved customer value.

Data-Enabled Business Outcomes

Identify opportunities to use commercial data products and analytics to improve revenue, profitability, operational efficiency, customer experience, and business decision-making.
Establish clear business outcomes and KPIs for data products and measure value delivered after launch.
Use product and customer data to identify opportunities for continuous improvement and optimization.
Partner with internal business teams to ensure insights generated by data products are translated into actionable decisions and measurable outcomes.

Cross-Functional Leadership

Serve as the primary product leader connecting customers, commercial teams, business stakeholders, and technical delivery teams.
Build strong relationships with sales, marketing, customer success, operations, finance, data engineering, data science, analytics, and software development.
Communicate product vision, strategy, priorities, and performance to stakeholders and leadership.
Lead cross-functional product teams through discovery, prioritization, development, launch, and optimization.
Create alignment around product priorities while effectively managing competing stakeholder needs.

Skills, Knowledge and Expertise

Proven experience (2 years) as a Data Product Manager or similar role in a technology-driven environment.
Strong understanding of data management, data analytics, and data visualization concepts.
Experience with data engineering, science and visualization technologies (e.g. Redshift, DBT, Microsoft Power BI)
Experience with Agile methodologies, product management tools (e.g., Jira, Trello), and version control systems (e.g., Git).
Excellent communication skills, with the ability to effectively collaborate with cross-functional teams and stakeholders.
Strong analytical and problem-solving skills, with a data-driven and detail-oriented mindset.
Experience in the parking industry is a plus.

Benefits

Join our team and enjoy an outstanding benefits package, including:

Annual Discretionary Incentive plan: Designed to align pay with performance.
Comprehensive Health Plans: Access top-notch Medical, Dental, and Vision coverage for you and your family.
Life and AD&D: Basic Life and Accidental Death Insurance to secure your future with essential protection for you and additional options for your loved ones.
Short-Term Disability (STD): Income protection when you need time to recover.
Long-Term Disability (LTD): Available based on employee group, offering extended support when life takes a turn.
Employee Assistance Program (EAP): Confidential support for mental health, financial, legal advice, and more for everyone in your home
Registered Retirement Savings Plan (RRSP): Build your future with employer-supported retirement savings (based on employee group).
Paid Vacation: Enjoy well-deserved time off to relax, travel, or spend time with family

United States - California applicants only:
The Company will consider qualified applicants with arrest or conviction records for employment in accordance with the California Fair Chance Act, the Los Angeles County Fair Chance Ordinance for Employers and the City of Los Angeles Fair Chance Initiative for Hiring, and other local ordinance, as applicable. You do not need to disclose your criminal history or participate in a background check until a conditional job offer is made to you. After making a conditional offer and running a background check, if the Company is concerned about a conviction or convictions that is/are directly related to the job, you will be given the chance to explain the circumstances surrounding the conviction(s), provide mitigating evidence, or challenge the accuracy of the background report. A criminal history may have a direct, adverse and negative relationship upon certain job duties of this employment position, and such criminal history may result in the withdrawal of a conditional offer of employment.

Find out more about the Los Angeles County Fair Chance Ordinance at https://opportunity.lacounty.gov/wp-content/uploads/2024/03/FCO-FAQ-Final-Updated-with-Recommendations.pdf. Find out more about the California Fair Chance Act by visiting the Civil Right’s Department Fair Chance Act webpage: https://calcivilrights.ca.gov/fair-chance-act/.

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More about this job

Responsibilities

The Senior Data Product Manager will lead the strategy, development, and lifecycle of commercial data products to create measurable value for customers and the business. This role involves collaborating cross-functionally with data engineering, science, and commercial teams to translate market insights into actionable data-enabled products.

Requirements

Candidates must have at least two years of experience in a data product management or similar technology-driven role. Proficiency in data management, analytics, visualization tools, and Agile methodologies is required.

Skills

Data product management
Data strategy
Product roadmap
Data engineering
Data science
Data analytics
Data visualization
Agile methodologies
Jira
Trello
Git
Redshift
Dbt
Microsoft Power BI
Cross-functional leadership
Market discovery

Benefits

Annual discretionary incentive plan
Medical coverage
Dental coverage
Vision coverage
Life insurance
Accidental death insurance
Short-term disability
Long-term disability
Employee assistance program
Paid vacation

Visa sponsorship

Not detected in the job text

Keywords

Data Product Manager
Product Strategy
Data Engineering
Data Science
Data Analytics
Redshift
Dbt
Microsoft Power BI
Agile
Jira
Trello
Git
Product Lifecycle
Commercialization
Monetization
KPIs
Market Discovery
Parking Industry
Product Roadmap
Data Visualization

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