{"id":720923,"url":"https://alion.io/job/shyftlabs-data-product-manager-analytical-data-products","title":"Data Product Manager – Analytical Data Products","company":{"id":685982,"name":"Shyftlabs","domain":"shyftlabs.io","url":"https://alion.io/company/shyftlabs","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"A","score":89,"open_postings":22,"ghost_share":0,"stale_share":0.455,"repost_share":0,"time_to_fill_p50_days":36,"computed_at":"2026-10-20T05:45:00Z"}},"role":"Product","role_family":"Product","seniority":"middle","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Toronto, Canada"],"countries":["CA"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":61000,"max_usd":119000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":26},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"BigQuery","optional":false},{"name":"ClickHouse","optional":false},{"name":"Databricks","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-07-16T23:21:44Z","employer_posted_date":"2026-07-16","last_verified_at":"2026-10-21T01:01:58Z","board_verified":true,"closed_at":null,"days_open":96,"trust":{"level":"ok","repost_count":0,"flags":[],"days_open":95},"description":"About ShyftLabs\nShyftLabs is a fast-growing data and AI company that helps organizations unlock the value of their data through modern engineering, analytics, and intelligent products. We partner with Fortune 500 organizations to build scalable cloud solutions, AI-driven platforms, and innovative data products that accelerate business outcomes.\nWe're looking for a Data Product Manager to join our growing Data Products team. This role is ideal for someone who combines strong product management expertise with a deep understanding of modern data platforms and enjoys partnering directly with clients to translate complex business challenges into scalable analytical solutions.\nReporting to the Director of Analytical Data Products, you'll own the strategy, roadmap, and execution for a portfolio of analytical data products while serving as the primary point of contact for client stakeholders. You'll collaborate closely with engineering, analytics, and architecture teams to deliver high-quality, reusable data products that drive measurable business value.\nWhat You'll Do\nProduct Strategy & Ownership\nOwn the end-to-end lifecycle of analytical data products, from discovery and roadmap planning through delivery, adoption, and continuous improvement.\nDefine product vision and priorities aligned with client business objectives and organizational strategy.\nBalance new feature development with technical debt reduction, platform scalability, and long-term product sustainability.\nMonitor product performance and usage metrics to identify opportunities for optimization and future enhancements.\nClient Partnership\nServe as the primary client-facing product lead throughout product delivery.\nLead discovery workshops, requirements gathering sessions, and solution scoping discussions.\nTranslate business objectives into clear product requirements and prioritized development backlogs.\nBuild trusted relationships with client stakeholders by communicating technical concepts in a clear, business-focused manner.\nManage stakeholder expectations while balancing competing priorities across multiple initiatives.\nProduct Delivery\nMaintain, prioritize, and refine product backlogs based on evolving business needs.\nPartner closely with Engineering, Analytics, Architecture, and Data teams to deliver scalable analytical data products.\nLead Agile ceremonies including sprint planning, backlog refinement, stand-ups, retrospectives, and release planning.\nEnsure successful product launches and ongoing operational excellence.\nData & Technical Leadership\nCollaborate with engineering teams to define data quality, governance, testing, and usability standards.\nContribute to architectural discussions involving modern data platforms including Snowflake, BigQuery, ClickHouse, and similar technologies.\nAdvocate for reusable, scalable data products using modern architectural principles including Data Mesh, Data Fabric, Semantic Layer, and FAIR principles.\nPerform hands-on SQL analysis and data validation when necessary to support product decisions and client discussions.\nCross-Functional Collaboration\nPartner with Legal, Privacy, Compliance, and Security teams to ensure products meet regulatory and governance requirements.\nWork closely with executive stakeholders to communicate product strategy, delivery progress, and technical tradeoffs.\nFoster a product-led culture focused on delivering measurable business value through data.\nWhat You Bring\nBachelor's degree in Computer Science, Data Science, Information Systems, Business, Engineering, or a related discipline.\n3-5+ years of experience in Product Management, Data Product Management, Data Management, Analytics, or Data Science.\nProven experience managing the full product lifecycle from discovery through launch and continuous improvement.\nStrong client-facing experience with the ability to gather requirements, influence stakeholders, and manage expectations.\nAdvanced SQL skills with the ability to analyze datasets and validate business hypotheses.\nExperience working with modern cloud data platforms such as Snowflake, BigQuery, ClickHouse, Databricks, Redshift, or similar technologies.\nWorking knowledge of:Data governance\nSemantic layer concepts\nFAIR principles\nModern data architecture patterns\nExperience working within Agile product development environments.\nExcellent communication and presentation skills with the ability to explain complex technical concepts to both technical and non-technical audiences.\n\nNice to Have\nMaster's degree in Engineering, Data Science, Business, or a related field.\nExperience within Pharma, Biotechnology, Financial Services, Consumer Packaged Goods (CPG), or Management Consulting.\nFamiliarity with Customer Data Platforms (CDPs), Omnichannel Marketing, or Digital Marketing Analytics.\nDemonstrated experience using product usage metrics and customer insights to prioritize roadmap investments.\nExperience working with enterprise-scale data products serving multiple business units or external clients.\nSalary Range\n$130,000 - 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