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Senior Data Product Manager
73 Strings
Toronto, CAN
Full Time
Senior
1 weeks ago
Data Product ManagementData EngineeringSQLData ModelingProduct StrategyStakeholder Management
Free
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Data Product ManagementData EngineeringSQL
About the Role
73 Strings is seeking a Senior Data Product Manager to own delivery of the foundational data platform and core data products. The role involves translating data strategy into shipped product, managing roadmaps, and collaborating with engineering teams.
Key Skills for This Role
Data Product ManagementData EngineeringSQLData ModelingProduct StrategyStakeholder Management
Responsibilities
- Translate the data platform strategy into shipped product and co shape the operating model
- Ship foundational data pipelines and flagship data products to production with named consumers, defined SLAs, and measurable adoption
- Stand up product practices for data products: intake, prioritisation, data contracts, lifecycle, and metrics
- Manage the roadmap for foundational data products and prioritise opportunities across competing stakeholder demands
- Produce high quality product requirements in collaboration with Product Director, SMEs, design, and engineering teams
- Stay on top of internal consumer needs through qualitative and quantitative insights
- Define and execute delivery plans across business units and ensure clear communication with internal stakeholders
- Provide training and end user support during rollout of new data products
Requirements
- 6+ years of hands on product management experience, of which at least 3 years owning data platforms or data products end to end
- Technical foundation: started career in a hands on technical role (data engineering, software engineering, analytics engineering, or similar)
- Meaningfully contributed to building a data platform from a low maturity starting point
- Experience in an organisation where data genuinely powered decision making
- Senior individual contributor with outcome driven mindset
- Hands on: write own specs, draft data contracts, prototype analyses
- Comfortable without authority; practiced at influence and earning the right to lead
- Exceptional written and verbal communication
Full Job Posting
Overview Of 73 Strings
- 73 Strings provides data extraction, monitoring, and valuation solutions for the private capital industry.
- The AI powered platform streamlines middle office processes for alternative investments.
- Serves clients globally across Private Equity, Growth Equity, Venture Capital, Infrastructure and Private Credit.
About The Role
- 73 Strings is investing in the foundational data platform that powers AI augmented products.
- This role is a senior individual contributor who turns data strategy into shipped product.
- The role co shapes the operating model and brings product discipline and technical credibility.
Qualifications
- 6+ years of hands on product management experience, at least 3 years owning data platforms or data products end to end.
- Technical foundation: started career in a hands on technical role (data engineering, software engineering, analytics engineering, or similar).
- Meaningfully contributed to building a data platform from a low maturity starting point.
- Experience in an organisation where data genuinely powered decision making.
- Senior individual contributor, not a people management role.
- Outcome driven: measure on adoption, business impact, and decisions changed.
- Hands on: write own specs, draft data contracts, prototype analyses.
- Challenges the status quo diplomatically.
- Comfortable without authority; practiced at influence.
- Exceptional written and verbal communication.
Responsibilities
- Translate the data platform strategy into shipped product.
- Ship foundational data pipelines and flagship data products to production.
- Stand up product practices for data products: intake, prioritisation, data contracts, lifecycle, metrics.
- Manage the roadmap for foundational data products.
- Produce high quality product requirements.
- Stay on top of internal consumer needs through qualitative and quantitative insights.
- Define and execute delivery plans across business units.
- Provide training and end user support during rollout of new data products.
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