Senior Technical Product Manager

Overview:

Guidepoint is seeking a Senior Technical Product Manager to lead the strategy roadmap and evolution of the companys data ecosystem.

This role will own the vision and prioritization forGuidepointsexternal and internal data assets ensuring the organization has the data capabilities necessary to support growth product innovation operational efficiency and AI-driven initiatives.Technical Product Manager will act as the primary business owner for Guidepoints data platform partnering closely with Engineering Compliance Commercial Operations Product and Executive Leadership. The role will oversee external data vendor relationships identify gaps in Guidepoints data capabilities define requirements for new data products and integrations and drive improvements in data quality and utilization.

The position will directly manage the Data Analyst function and work closely with Engineering teams responsible for ingestion processing and data infrastructure.

This is a Hybrid role in our Toronto office.

What Youll Do:

DataOps Strategy& Roadmap

• Ownthe roadmap forGuidepointsdata platform and data capabilities.

• Identifystrategic gaps inGuidepointsdata ecosystem and recommend investment priorities.

• Evaluate opportunities to expand or enhanceGuidepointsdata assets through external partnerships andnew technologies.

• Develop business cases and success metrics for data initiatives.

• Present recommendations and roadmap priorities to executive leadership.

Data Vendor Strategy & Management

• Own relationships with external data providers and strategic data partners.

• Evaluate new data sources for quality coverage scalability and business value.

• Assess prospective data providers for their ability to improve entity coverage enrichment capabilities and overall data quality.

• Define requirements and success criteria for vendor onboarding initiatives.

• Partner with Legal and Compliance on contract reviews and vendor governance.

• Monitor vendor performance and drive ongoing optimization ofGuidepointsdata portfolio.

Data Product Development

• Translate business needs into product requirements for data ingestion enrichment normalization and quality initiatives.

• Own requirements and prioritization for entitymatchingidentity resolution deduplication and data enrichment capabilities.

• Partner with Data Engineering teams to improve matching accuracyenrichmentworkflows and master record management processes.

• Prioritize engineering investments across competing data initiatives.

• Partner with Engineering to deliver scalable data capabilities.

• Define acceptance criteria and success metrics for new datasets and integrations.

• Drive adoption andutilizationof new data capabilities across the organization.

Data Quality & Governance

• Establish frameworks for measuring and improving data quality.

• Define andmonitormetrics for data completeness accuracy consistency freshness duplication and match quality.

• Definequality KPIs and operational scorecards.

• Prioritize remediation efforts and quality improvement initiatives.

• Drive initiatives to improve entity resolution accuracy reduce duplicate records and increase trust inGuidepointscore data assets.

• Partner with Engineering and business stakeholders to addressrootcauses of quality issues.

• Ensure data governance processes support businessobjectives.

Analytics & Insights Leadership

• Manage the Data Analyst function.

• Oversee analysis of existing and prospective data assets.

• Develop reporting on data quality coverageutilization and ROI.

• Monitor and report on match rates enrichment effectiveness data quality trends and external data source performance.

• Support strategic decision-making through data-driven insights and recommendations.

Cross-Functional Leadership

• Serve as the primary point of coordination between Product Engineering Compliance Commercial Operations and Executive Leadership on data initiatives.

• Align stakeholders around priorities tradeoffs and investment decisions.

• Communicate roadmap progress risks and opportunities.

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 SnowflakeBigQuery 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 to evaluate data quality coverageutilization and business impact.

• 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.

Success Metrics:

• Improvementindata quality coverage andutilization.

• Successful onboarding and adoption of new strategic data sources.

• Delivery of roadmapobjectivesand business outcomes.

• Increased value generated fromGuidepointsdata investments.

• Strong stakeholder satisfaction across Product Engineering and Business teams.

• Improvement in entity matching and deduplication accuracy.

• Increased coverage completeness and freshness of key data assets.

• Reduction in duplicate incomplete and low-quality records.

• Measurable business impact from external data acquisition and enrichment initiative

What We Offer:

The annual base salary range for this position is 150000 - 180000 CAD. Additionally this position is eligible for an annual discretionary bonus based on performance.

You will also be eligible for the following benefits:

• Paid time off
• Comprehensive benefits plan
• Company RRSP match
• Development opportunities through the LinkedIn Learning platform

About Guidepoint:

Backed by a network of nearly 1.75 million experts and Guidepoints 1600 employees worldwide we inform leading organizations research by delivering on-demand intelligence and research on request. With Guidepoint companies and investors can better navigate the abundance of information available today making it both more useful and more powerful.

At Guidepoint our success relies on the diversity of our employees advisors and client base which allows us to create connections that offer a wealth of perspectives. We are committed to upholding policies that contribute to an equitable and welcoming environment for our community regardless of background identity or experience.

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