Associate Director, Commercial Data Strategy & Governance

CG Oncology

56d•Remote

About The Position

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. It ensures that data strategies, architecture, and governance frameworks are aligned with evolving business needs and 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 Location: Remote

Requirements

8+ years of experience in data strategy, data management, or enterprise data architecture roles.
Proven experience designing and implementing:
Data warehouse and governance frameworks
Master data management (MDM) solutions
Enterprise data ecosystems integrating CRM and omnichannel data
Strong experience with:
Salesforce CRM data structures and integration
Omnichannel engagement data (marketing, digital, field interactions)
Third-party commercial data sources
Deep understanding of data architecture, schema design, and data lifecycle management.
Experience enabling analytics and BI through well-structured, governed data.
Familiarity with data privacy and regulatory requirements (HIPAA, GDPR).

Responsibilities

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 identify systems
Internal Product and Patient HUB data sources
Drive alignment of data models, schemas, and standards across all systems and business functions.
Data Management & Governance
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.
Master Data Management (MDM)
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.
Salesforce CRM & Commercial Data Integration
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.
Omnichannel Data & Engagement Ecosystem
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.
Data Ecosystem & Third-Party Data Management
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 standardized schemas and data models to support interoperability and scalability.
Data Accessibility & Analytics Enablement
Ensure high-quality, well-structured data is readily available for analytics, reporting, and decision-making.
Partner with analytics and business stakeholders to align data structures with reporting and insight needs.
Enable scalable access to trusted data across stakeholders, from leadership to field teams.
Data Privacy, Compliance & Risk Management
Establish and enforce data privacy and compliance standards (e.g., HIPAA, GDPR).
Ensure appropriate data access controls, consent management, and secure data handling practices across CRM and omnichannel systems.
Translate regulatory and policy requirements into practical, scalable data governance processes.
Proactive Data Operations & Continuous Improvement
Lead implementation sprints and prioritize work based on business impact.
Monitor and continuously improve data quality, availability, and usability across all data assets.
Identify opportunities to enhance data integration, governance, and ecosystem performance proactively.
Build and maintain a forward-looking data roadmap aligned with business priorities and growth.
Establish repeatable processes that scale as the commercial footprint grows.