# Data Product Manager – Analytical Data Products at ShyftLabs

> Hybrid · Canada · Unspecified · Product · open. Source: https://alderhq.app/jobs/lever%3Ashyftlabs%3Ae8ec6fc6-e6ea-44e1-b050-3990d971d8be (read 2026-11-05).

## Facts (observed)

- Company: [ShyftLabs](https://alderhq.app/companies/shyftlabs)
- Location text: Toronto, Ontario
- Where it can be done from (inferred): Hybrid · Canada (evidence: "Location: Toronto, Ontario")
- Posted: 2026-07-16 (111 days ago)
- First seen by alder: 2026-11-02 · last verified: 2026-11-04
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://jobs.lever.co/shyftlabs/e8ec6fc6-e6ea-44e1-b050-3990d971d8be
- Skills listed (inferred): Snowflake, SQL

## Pay and sponsorship

- Posted pay: CAD 130k–CAD 160k per year (from the description)
- Market band for similar posted roles (Toronto, n 10): p25 CAD 125k, median CAD 135k, p75 CAD 147k

## Description (the employer's text)

### What You'll Do

### Product Strategy & Ownership

- Own the end-to-end lifecycle of analytical data products, from discovery and roadmap planning through delivery, adoption, and continuous improvement.
- Define product vision and priorities aligned with client business objectives and organizational strategy.
- Balance new feature development with technical debt reduction, platform scalability, and long-term product sustainability.
- Monitor product performance and usage metrics to identify opportunities for optimization and future enhancements.
### Client Partnership

- Serve as the primary client-facing product lead throughout product delivery.
- Lead discovery workshops, requirements gathering sessions, and solution scoping discussions.
- Translate business objectives into clear product requirements and prioritized development backlogs.
- Build trusted relationships with client stakeholders by communicating technical concepts in a clear, business-focused manner.
- Manage stakeholder expectations while balancing competing priorities across multiple initiatives.
### Product Delivery

- Maintain, prioritize, and refine product backlogs based on evolving business needs.
- Partner closely with Engineering, Analytics, Architecture, and Data teams to deliver scalable analytical data products.
- Lead Agile ceremonies including sprint planning, backlog refinement, stand-ups, retrospectives, and release planning.
- Ensure successful product launches and ongoing operational excellence.
### Data & Technical Leadership

- Collaborate with engineering teams to define data quality, governance, testing, and usability standards.
- Contribute to architectural discussions involving modern data platforms including Snowflake, BigQuery, ClickHouse, and similar technologies.
- Advocate for reusable, scalable data products using modern architectural principles including Data Mesh, Data Fabric, Semantic Layer, and FAIR principles.
- Perform hands-on SQL analysis and data validation when necessary to support product decisions and client discussions.
### Cross-Functional Collaboration

- Partner with Legal, Privacy, Compliance, and Security teams to ensure products meet regulatory and governance requirements.
- Work closely with executive stakeholders to communicate product strategy, delivery progress, and technical tradeoffs.
- Foster a product-led culture focused on delivering measurable business value through data.
### What You Bring

- Bachelor's degree in Computer Science, Data Science, Information Systems, Business, Engineering, or a related discipline.
- 3–5+ years of experience in Product Management, Data Product Management, Data Management, Analytics, or Data Science.
- Proven experience managing the full product lifecycle from discovery through launch and continuous improvement.
- Strong client-facing experience with the ability to gather requirements, influence stakeholders, and manage expectations.
- Advanced SQL skills with the ability to analyze datasets and validate business hypotheses.
- Experience working with modern cloud data platforms such as Snowflake, BigQuery, ClickHouse, Databricks, Redshift, or similar technologies.
- Working knowledge of:
- Data governance
- Semantic layer concepts
- FAIR principles
- Modern data architecture patterns
- Experience working within Agile product development environments.
- Excellent communication and presentation skills with the ability to explain complex technical concepts to both technical and non-technical audiences.
### Nice to Have

- Master's degree in Engineering, Data Science, Business, or a related field.
- Experience within Pharma, Biotechnology, Financial Services, Consumer Packaged Goods (CPG), or Management Consulting.
- Familiarity with Customer Data Platforms (CDPs), Omnichannel Marketing, or Digital Marketing Analytics.
- Demonstrated experience using product usage metrics and customer insights to prioritize roadmap investments.
- Experience working with enterprise-scale data products serving multiple business units or external clients.
### Salary Range

- $130,000 - $160,000 (CAD)

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/lever%3Ashyftlabs%3Ae8ec6fc6-e6ea-44e1-b050-3990d971d8be and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.