Project Manager, Data
Listed on 2026-01-13
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IT/Tech
Data Analyst, Data Science Manager, IT Project Manager, Data Engineer
Join nesto — proudly named Canadian Rocketship 2025*. A Deloitte Fast 50 company evolving alongside Canada’s top tech innovators and disrupting a 2.1 Trillion-dollar mortgage industry at light speed by building the mortgage ecosystem of the future.
BUILD lending technologyWith the best developers, AI engineers, and mortgage experts in the country, work on a modern tech stack and a development framework designed to unlock your full potential and accelerate your career.
Why join us- Hypergrowth:
Deloitte Fast 50 — 3 years in a row - Tech community credibility:
TechTO Canadian Rocketship 2025* - Industry leadership: CLA Lending Company of the Year — 4 consecutive years
- Talent magnet: CMP Top Mortgage Employer 2025
- Trusted technology: powering major financial institutions across Canada
- An entrepreneurial culture built on trust, speed, uncomfortable ambition, being stronger together, and a relentless obsession with our clients.
Builders. Problem-solvers. Curious minds. People who move fast, embrace innovation, and believe we’re stronger together.
If you trust your skills and want to build real technology that reshapes an entire industry, join us now.
About nesto and Nesto Cloudnesto is Canada’s leading provider of mortgage technology and financing solutions, managing $73B+ CAD in residential and commercial mortgages, with 1,000+ team members across 12 offices nationwide. You will be working on Nesto Cloud, Canada’s most advanced cloud platform, delivering end-to-end technology solutions for lenders in the digital age.
About the roleAs a Project Manager, Data, you'll join our rapidly expanding Data team, reporting directly to the VP of Data Engineering. Our team has grown significantly, from 2 to over 9 members in 4.5 years, with team members working remotely across Canada. The role offers location flexibility across Canada, with a preference for occasional in-person working sessions in our Montreal office.
This new role is designed to be the central hub for managing the Data team's workflow. You will be responsible for streamlining the intake, triage, and prioritization of a high volume of data requests originating from various departments in order to drive efficiency and accelerate delivery. Ultimately, you will reduce the operational load on the data team, significantly improve visibility on priorities and timelines, and enable fast, time-sensitive decision-making across the entire business.
What you’ll be doing- Lead Agile delivery for the Data Team's end-to-end projects, driving Scrum/Agile and consistently enabling fast, time-sensitive decision-making.
- Own the sprint backlog, managing the intake, triage, and prioritization of all cross-department data requests from various internal stakeholders.
- Facilitate core Agile ceremonies, including backlog grooming and sprint planning, to ensure clear direction and alignment for the Data and Engineering teams.
- Act as the key liaison, expertly translating technical feasibility and distinguishing/rerouting data versus front-end/back-end issues between business and technical units.
- Create and maintain clear Jira tickets and project documentation, ensuring all technical and business requirements are well-defined and understood.
- Track, monitor, and report project status, risks, dependencies, and issues to leadership using visible boards and dashboards for proactive decision-making.
- Support crucial operational tasks (e.g., managing daily file sharing for external partners) and foster a high-performing, team‑first culture.
- Minimum 2+ years of experience in Project Management experience.
- Experience in a tech-driven environment and exposure to technical teams (data, engineering, etc.)
- Proven experience working within Scrum/Agile frameworks (sprint planning, grooming, ticket creation).
- Experience with project management tools, specifically Jira is essential.
- Accountability and detail orientation.
- Strong collaboration with active listening and a solution-focused mindset.
- High-level understanding of data concepts; familiarity with SQL, Python, and data dashboards; understands how data and other technical teams (Engineering) operate.
- Exp…
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