Sr. Technical Product Manager
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Key skills for this role
About the Role
Guidepoint is seeking a Senior Technical Product Manager to lead the strategy, roadmap, and evolution of the company's data ecosystem. The role involves owning the data platform roadmap, managing external data vendors, and driving data quality initiatives.
Key Skills for This Role
Responsibilities
- Own the roadmap for Guidepoint's data platform and data capabilities
- Identify strategic gaps in Guidepoint's data ecosystem and recommend investment priorities
- Evaluate opportunities to expand or enhance Guidepoint's data assets through external partnerships and new technologies
- Develop business cases and success metrics for data initiatives
- Present recommendations and roadmap priorities to executive leadership
- Own relationships with external data providers and strategic data partners
- Evaluate new data sources for quality, coverage, scalability, and business value
- Define requirements and success criteria for vendor onboarding initiatives
- Translate business needs into product requirements for data ingestion, enrichment, normalization, and quality initiatives
- Establish frameworks for measuring and improving data quality
- Manage the Data Analyst function
Requirements
- 7+ years of experience in Product Management, Data Product Management, Technical Product Management, or related roles
- Experience owning data products, data platforms, or data intensive systems
- Experience working with modern data platforms such as Databricks, Snowflake, BigQuery, Redshift, or similar cloud based data ecosystems
- Strong understanding of data acquisition, data quality, data governance, and data lifecycle management
- Experience with entity resolution, record matching, deduplication, data enrichment, or Master Data Management (MDM) initiatives
- Experience working with external data vendors and third party datasets
- Strong analytical capabilities, including SQL, data analysis, and experience using analytics and business intelligence tools
- Demonstrated ability to influence technical and business stakeholders
- Experience partnering closely with engineering teams to deliver complex technical initiatives
- Experience partnering with Data Engineering teams on data ingestion, transformation, matching, enrichment, and data quality initiatives
Full Job Posting
Overview
- Guidepoint is seeking a Senior Technical Product Manager to lead the strategy, roadmap, and evolution of the company's data ecosystem.
- This role will own the vision and prioritization for Guidepoint's external and internal data assets, ensuring the organization has the data capabilities necessary to support growth, product innovation, operational efficiency, and AI driven initiatives.
- The position will directly manage the Data Analyst function and work closely with Engineering teams responsible for ingestion, processing, and data infrastructure.
What You'll Do
- Own the roadmap for Guidepoint's data platform and data capabilities.
- Identify strategic gaps in Guidepoint's data ecosystem and recommend investment priorities.
- Evaluate opportunities to expand or enhance Guidepoint's data assets through external partnerships and new technologies.
- Develop business cases and success metrics for data initiatives.
- Present recommendations and roadmap priorities to executive leadership.
- Own relationships with external data providers and strategic data partners.
- Evaluate new data sources for quality, coverage, scalability, and business value.
- Define requirements and success criteria for vendor onboarding initiatives.
- Translate business needs into product requirements for data ingestion, enrichment, normalization, and quality initiatives.
- Establish frameworks for measuring and improving data quality.
- Manage the Data Analyst function.
What You Have
- 7+ years of experience in Product Management, Data Product Management, Technical Product Management, or related roles.
- Experience owning data products, data platforms, or data intensive systems.
- Experience working with modern data platforms such as Databricks, Snowflake, BigQuery, Redshift, or similar cloud based data ecosystems.
- Strong understanding of data acquisition, data quality, data governance, and data lifecycle management.
- Experience with entity resolution, record matching, deduplication, data enrichment, or Master Data Management (MDM) initiatives.
- Experience working with external data vendors and third party datasets.
- Strong analytical capabilities, including SQL, data analysis, and experience using analytics and business intelligence tools.
- Demonstrated ability to influence technical and business stakeholders.
- Experience partnering closely with engineering teams to deliver complex technical initiatives.
- Experience partnering with Data Engineering teams on data ingestion, transformation, matching, enrichment, and data quality initiatives.
Compensation
- The annual base salary range for this position is 150,000 180,000 CAD.
- Additionally, this position is eligible for an annual discretionary bonus based on performance.
Benefits
- Paid time off
- Comprehensive benefits plan
- Company RRSP match
- Development opportunities through the LinkedIn Learning platform
Workplace
- This is a Hybrid role in our Toronto office.
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