Overview

Operations full-time position in Toronto, ON (Hybrid) with a salary of $60,000–$80,000 CAD per year.

Lead the evolution of audience, attribution, and analytics solutions in a fast-growing adtech environment. This role is client-facing and sits at the intersection of Product, Sales, Operations, and Engineering, reporting to the Chief Operating Officer.

This role owns the end-to-end lifecycle of data and analytics products — from capturing market needs and defining product vision, to driving internal execution, client adoption, and continuous product evolution.

As we scale proprietary data capabilities (including identity, omnichannel resolution, and related analytics), the Data Product Owner will drive evolution and commercialization of data products.

Responsibilities

- Capture client needs, pain points, and technical requirements to inform proactive data product strategy
- Translate commercial feedback into structured product requirements and roadmaps
- Identify gaps in current data offerings and recommend current features, enhancements, or integrations
- Partner with Engineering and BI teams to define technical scope and feasibility
- Drive long-term product evolution aligned with revenue and adoption goals
- Support Sales and Account teams in positioning and selling data & analytics solutions to key clients
- Develop product narratives, one-pagers, FAQs, and enablement materials
- Drive adoption of existing data products across strategic accounts
- Establish structured feedback loops from clients and internal stakeholders
- Identify upsell and expansion opportunities tied to product usage
- Lead client-facing discussions related to data methodology, technical capabilities, and measurement frameworks
- Support SOW creation, pricing alignment, and kickoff calls
- Ensure clarity of deliverables, timelines, and success metrics
- Act as the product authority in client conversations
- Own internal documentation, including briefs, technical scope definitions, and implementation processes
- Align Sales, Operations,



Engineering, and BI teams on delivery timelines
- Maintain visibility across milestones and dependencies
- Drive cross-functional alignment to ensure scalable, repeatable workflows
- Ensure final product delivery matches SOW and client expectations
- Define acceptance criteria and testing requirements
- Validate audience builds, attribution logic, data outputs, and reporting accuracy
- Identify and resolve inconsistencies before client delivery
- Translate complex data outputs into client-ready insights and executive-level narratives
- Present performance results and product capabilities to senior client stakeholders

Qualifications

- 2.5+ years of experience in product management, data strategy, media analytics, or adtech
- Experience with identity data, audience platforms, attribution models, or DSP integrations
- Robust understanding of programmatic media and omnichannel measurement
- Comfortable operating between commercial and technical teams
- Experience managing SOWs, pricing structures, and client-facing product discussions
- Highly structured thinker with strong documentation and communication skills
- Ability to thrive in a fast-paced, growth-oriented environment
- Strong ownership mindset and accountability for outcomes

About Native Touch

Native Touch is an entrepreneurial technology company at the forefront of the mobile-first omni-channel advertising market. We offer an open, fast-paced environment with a focus on collaboration, training, and flexible working conditions that support work-life balance. Check us out at native-tou.ch and on LinkedIn.

Benefits & Details

- Salary: $60,000–$80,000 per year, based on experience
- Vacation: 15 days, prorated in the first year
- Location: Hybrid in Toronto, Ontario
- Hours: 40 hours/week, flexible schedule, EST
- Comprehensive benefits plan

How to Apply

Apply online: https://secure.collage.co/jobs/nativetouch

Notes

We may not respond to every applicant due to high volume. If selected to move forward, the interview process includes multiple rounds and a practical exercise, followed by references.

📌 Data Product Owner (Toronto)
🏢 Native Touch
📍 Toronto