Associate Director, Commercial Data Strategy & Governance
Listed on 2026-06-11
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IT/Tech
Data Analyst, Data Warehousing, Business Systems/ Tech Analyst, Data Engineering
About CG Oncology, Inc.
Are you ready to make a difference in the world and become part of our patient-centered team focused on attacking bladder cancer for a better tomorrow? At CG Oncology, we believe that exceptionally talented individuals who share our passion and enjoy working together can truly achieve our vision and mission to benefit patients around the world. Every day we are making significant advancements across our multiple pipelines and are growing rapidly to meet the needs of patients who cannot afford to wait to benefit from our novel immunotherapies.
Please review this job posting and our values—if they resonate with you and are what you expect from your organization and team, we would like to hear from you.
The Role
The Associate Director, Data Strategy & Governance is a business-led data leader responsible for defining, governing, and scaling the organization’s end-to-end data ecosystem. This role sits within Enterprise Analytics & Operations and ensures that data strategies, architecture, and governance frameworks are aligned with evolving business goals to enable high-quality, decision-ready insights across the enterprise.
This role positions data as a strategic asset, integrating internal (Creto), third‑party, Salesforce CRM, and omnichannel engagement data into a unified, governed ecosystem. The individual will ensure that all commercial data assets are structured, connected, and accessible to drive execution, insights, and growth.
The ideal candidate combines strategic thinking with hands‑on execution, with the ability to design scalable data ecosystems, enforce governance standards, and proactively anticipate future data needs.
LocationRemote
Essential Functions Commercial Data Strategy & Architecture- Develop and steer the commercial data strategy in alignment with organizational goals, ensuring both successful launch readiness and sustained implementation.
- Establish a scalable data architecture integrating:
- Salesforce CRM and commercial platforms
- Omnichannel engagement, marketing systems
- Consent and identity systems
- Internal Product and Patient HUB data sources
- Drive alignment of data models, schemas, and standards across all systems and business functions.
- Design and implement data governance frameworks, including:
- Data ownership and stewardship models
- Data quality standards and monitoring
- Metadata, lineage, and auditability
- Ensure consistent definitions and usage of key data assets across CRM, omnichannel, analytics, and reporting environments.
- Proactively identify and resolve data gaps, inconsistencies, and risks across the ecosystem.
- Establish and oversee MDM strategy across key commercial entities (e.g., HCP, HCO, accounts, affiliations).
- Ensure a unified and trusted “golden record” across Salesforce CRM, data warehouse, and downstream systems.
- Implement stewardship processes to maintain data integrity and consistency at scale.
- Ensure Salesforce CRM is effectively integrated as a core system within the broader data ecosystem (not siloed).
- Define how CRM data structures align with enterprise data models and governance standards.
- Enable seamless data flow between CRM, marketing platforms, analytics tools, and external data sources.
- Partner with business teams to ensure CRM captures high-quality, decision-relevant data.
- Define and manage the omnichannel data strategy across all engagement channels (e.g., field, digital, email, events).
- Integrate engagement data from platforms such as marketing automation, digital channels, and CRM into a unified data model.
- Ensure consistent tracking, attribution, and measurement of customer interactions across channels.
- Enable a 360° view of customer engagement to support targeting, personalization, and performance tracking.
- Own integration and management of third‑party commercial data sources (e.g., claims, prescription, promotional, and engagement data).
- Ensure internal (Creto) and external datasets are harmonized into a consistent, analytics-ready structure.
- Define…
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