Data Product Lead

Euna Solutions•Oakville, ON

2d•CA$150,000 - CA$190,000•Hybrid

About The Position

Data is only as valuable as the decisions it drives — and Euna Solutions is looking for the person who makes sure every data product we build drives a real one. As our Data Product Lead, you'll own the single most important artifact on our data team: the ranked backlog that determines what we build next, and why. If you thrive at the intersection of business strategy, technical credibility, and relentless prioritization, this is the role you've been waiting for.

Requirements

Experience as a Product Owner, Product Manager, or Business Analyst working directly on data, analytics, or reporting products.
A proven track record of turning ambiguous business needs into scoped, prioritized deliverables that shipped and landed.
Strong commercial instinct — you can reason about revenue, retention, cost, and risk, and defend a ranking to a skeptical executive without flinching.
Genuine technical depth in data infrastructure and modern data stacks: enough to solution alongside an architect, pressure-test feasibility, and hold a credible design conversation.
Comfort operating across functions — as fluent with a sales leader as with a data engineer.
Clear, structured written communication; your backlog and your reasoning are visible, durable artifacts that the whole team can work from.

Nice To Haves

Familiarity with public sector, GovTech, or B2B SaaS environments.
A hands-on background building data or analytics products earlier in your career, not just managing them.
Experience introducing a scoring or prioritization framework to a team that didn't have one.

Responsibilities

Embed with sales, marketing, product, and internal teams to uncover real problems and translate them into scoped, estimable product opportunities.
Own and maintain the single, prioritized backlog of candidate data products — defending every ranking decision with a transparent, three-axis scoring model (business value, feasibility, data readiness).
Define requirements, data definitions, and acceptance criteria for each product so the Data Architect and engineers build against a clear target.
Partner with the Data Architect to shape and pressure-test solution design — you're not building the pipelines, but you understand the infrastructure well enough to make the call.
Validate that each product's output is correct, then drive adoption inside the business to make sure realized value follows.
Keep leadership and business owners aligned on sequence, tradeoffs, and the reasoning behind every prioritization decision.
In your first 90 days: inventory existing demand, publish v1 of the ranked backlog, and align with the Data Architect so the build starts the moment the architecture is ready — no phase-two gate.