Associate Director, Commercial Master Data Management

BeiGene

2d•$150,200 - $200,200•Hybrid

About The Position

The Global Commercial and Medical Affairs Technology team at BeOne is seeking an Associate Director, Commercial Master Data Management to support and lead the Ex-China Commercial Master Data Management (MDM) capability and drive operational excellence across commercial data platforms, customer data, analytics, and business applications. This role serves as a business owner for commercial master data domains, governance processes, data quality standards, stewardship programs, and cross-functional data policies that enable trusted, compliant, and scalable data-driven decision-making. This role partners closely with Commercial Operations, Marketing, Sales, Market Access, Patient Services, Analytics, Compliance, and Information Technology to ensure commercial data assets are governed, standardized, and optimized to support business objectives. This role will establish the foundation for a customer-centric commercial data ecosystem by creating governance frameworks, stewardship processes, master data standards, and data quality programs across HCP, HCO, payer, patient, product, and organizational data domains.

Requirements

Bachelor's Degree with 8+ years of experience / Master's in Computer Science or related field with 6+ years of experience.
8+ years of Pharmaceutical industry Commercial operations or related experience architecting and building Enterprise Data Management platforms, with direct hands-on delivery.
Hands-on experience implementing & managing Master Data Management solutions is a must.
Demonstrated ability to personally write and tune match rules, merge rules, and survivorship logic to produce “golden records” across Capability, Consent, Payer, Patient, HCP/HCO domains.
Familiarity with master data management platforms and commercial data architectures or comparable products.
Hands-on knowledge of commercial data mastering, including identity resolution, hierarchy and relationship management, consent management, data governance, data quality monitoring, and integration across HCP, HCO, payer, patient, consent, and product systems.
Strong hands-on SQL and experience working with Cloud based platforms and technology solutions is a must (AWS Redshift, EC2, Databricks, Snowflake, Reltio etc).
Hands-on experience with MedPro & OneKey data is a must.
Excellent written / verbal communication skills and presentation and project management skills.
Ability to coordinate needs assessments across the commercial & other business organizations, and an ability to build and deliver a comprehensive solution to those needs.
Demonstrated ability to work well within a matrixed environment, and an ability to build solid relationships / make connections across the organization.
Exceptional analytical and problem-solving skills and solid business acumen with the ability to manage and provision large amounts of data to enable business analysis with high level of performance and trust.
Must be able to identify operational weakness and personally implement corrective action / plan.
Proven ability to grow and develop others.
Strong collaboration skills with stakeholders, and cross-functional teams.
Experience leading Operational/analytics initiatives that drive measurable business impact.
Excellent communication and storytelling skills, making insights accessible and actionable for executives.

Nice To Haves

Ultmarc data experience is nice to have.
Experience in pharmaceutical or healthcare industry.
Exposure to commercial, medical, or patient data ecosystems.
Hands-on experience with commercial data providers including SP/SD, IQVIA, Symphony Health, Komodo, Definitive Healthcare, Veeva Open Data, and similar sources.

Responsibilities

Serve as hands-on business owner and architect for commercial master data domains, including HCP, HCO, payer, customer, product, and organizational hierarchies.
Build and maintain enterprise master data standards, business rules, hierarchies, and data ownership models.
Establish and run the Commercial Data Stewardship Program.
Develop and execute master data lifecycle processes, including onboarding, enrichment, maintenance, validation, and retirement.
Build and fine tune match rules, merge rules, and survivorship logic; perform customer matching, deduplication, affiliation management, and hierarchy maintenance directly to produce trusted “golden records.”
Configure and maintain customer communication preferences, consent management processes, and related compliance requirements.
Ensure MDM technologies and platforms align with commercial business requirements and configure them to meet those needs.
Identify and implement opportunities to improve operational efficiency through data standardization and automation.
Support enterprise initiatives involving AI, advanced analytics, customer engagement, and commercial transformation.
Build commercial data quality standards, KPIs, and monitoring processes, and run them on an ongoing basis.
Develop scorecards and reporting that provide visibility into data health across commercial domains.
Perform root-cause analysis and execute remediation for recurring data quality issues – writing the fixes, not just assigning them.
Partner with business stakeholders to prioritize and resolve data-related risks and opportunities.
Drive continuous improvement initiatives that measurably increase trust in commercial data assets.
Write and maintain operational support processes, documentation, SOPs, data dictionaries, and process maps to improve platform sustainability and supportability.
Translate business requirements into working technical solutions, and build the datasets, validations, and outputs directly; support user training, documentation, and adoption efforts.
Deliver and validate high-quality commercial master data provisioning across Account Planning, CRM, Customer Master, Business Intelligence, and Commercial Analytics platforms, ensuring data consistency, governance, and alignment with business requirements.
Partner with business stakeholders to identify opportunities for process improvements, workflow automation, and operational efficiencies.
Monitor operational metrics, data quality indicators, and platform usage, and personally implement continuous improvements.
Run day-to-day operations, enhancements, and support activities for commercial technology platforms including Customer Master Data and related data solutions.
Coordinate and perform platform releases, upgrades, enhancements, and defect resolution activities.
Support commercial product launches and business initiatives by preparing data, ensuring technology readiness, and testing data availability.
Conduct impact assessments and hands-on cross-functional reviews for system changes, integrations, and new data sources.
Partner with business and technology stakeholders to prioritize enhancements and build improved platform capabilities.
Partner with Data Engineering and Enterprise Architecture teams and build data integration and provisioning across commercial systems.
Build and coordinate integration activities between CRM, Customer Master, Marketing, Analytics, and Enterprise Data Warehouse platforms.
Write SQL and support the development and maintenance of semantic layers, reporting datasets, and business intelligence solutions.
Collaborate directly with Analytics and AI teams to improve data quality and support advanced reporting and analytical use cases.
Monitor and troubleshoot data pipelines and integrations to ensure reliable and timely data delivery.
Implement automated validation rules, matching logic, and data hygiene scripts to eliminate duplicate entries and maintain database integrity.
Coordinate delivery activities across offshore development teams, managed service providers, and technology vendors, working hands-on in testing and validating deliverables.
Manage project execution, testing, deployments, and production support activities across internal and external teams.
Monitor vendor performance against established service levels and support continuous improvement initiatives.
Review vendor output, reproduce and diagnose issues, and facilitate root-cause analysis and operational reviews for commercial systems and data platforms.
Support release planning, environment management, documentation, and knowledge transfer activities.