Associate Director, Data Systems

Asahi Kasei

. Lead the Company’s commercial data initiatives and operations .

Posted 10/30/2026full-timeCary • North Carolina • United StatesSenior💰 $165,000 - $190,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in commercial data management, including master data management (MDM), data governance, and analytics within the biotech and pharma industries. Proficient in utilizing BI tools and programming languages for data analysis and reporting while ensuring compliance with HIPAA and GDPR.

Highest-signal resume keywords

Master Data Management (MDM)Commercial Data ArchitectureData Governance PoliciesEnterprise Data WarehousingBusiness Intelligence Tools (Power BI, Tableau)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ManagementData Quality ControlsData IntegrationETL ProcessesSQLPythonRCloud Platforms (AWS, Snowflake, Databricks)Commercial AnalyticsData Automation

Soft Skills

Excellent CommunicationStakeholder ManagementCollaboration

Tools & Technologies

Power BITableauZaidynMedidataSnowflakeDatabricks

Industry Keywords

BiotechPharmaLife SciencesCommercial DataHCPHCOPayerSyndicated DataMarket AccessOmnichannel Marketing

Tech Stack

Tools & technologies

CloudETLPythonSnowflakeSQLTableau

About the role

Key responsibilities & impact

Lead the Company’s commercial data initiatives and operations
Guide the design and ongoing optimization of scalable commercial data architecture
Translate commercial priorities into a practical data roadmap
Lead master data management initiatives for HCP, HCO, payer, and master data
Define and maintain data definitions, business rules, stewardship processes, and data-quality controls
Establish data governance policies and compliance frameworks, including HIPAA and GDPR
Partner with Sales Operations/Business Intelligence, Marketing, Market Access, Sales, Patient Services, and other stakeholders
Manage the commercial data managed service provider, including scope, priorities, deliverables, service levels, issue escalation, change execution, and operational performance
Lead cross-functional projects enhancing analytics capabilities, including HCP segmentation, payer analytics, promotional effectiveness, and omnichannel marketing performance
Manage commercial datasets including VOD, DHC IQVIA, Symphony, MMIT Managed Care, HUB, Specialty Pharmacy, and Distributor data
Ensure accurate and fit-for-purpose data outputs across commercial functions
Define, validate, and document data outputs, interfaces, business rules, and reconciliation controls
Oversee the commercial data warehouse, MDM, reporting platforms, data outputs, and integrations
Assess and onboard approved data source tools, reporting capabilities, and automation opportunities
Serve as liaison among IT, Commercial Operations, business stakeholders, data providers, and technology partners

Requirements

What you’ll need

Bachelor’s or Master’s degree in Computer Science, Data Analytics, Business Intelligence, or a related field
4+ years’ experience in data management, MDM, and commercial analytics within biotech, pharma, or life sciences industries
Experience with commercial datasets, including syndicated data, market access, and sales analytics
Understanding of MDM principles and experience managing HCP, HCO, payer, and product master data
Experience collaborating with global teams, managing cross-regional data integration and global reporting alignment
Experience in enterprise data warehousing, ETL processes, and cloud platforms (Zaidyn / Medidata / Snowflake, Databricks, AWS0 in commercial biopharma settings
Experience with BI tools (Power BI, Tableau) and programming languages (SQL, Python, R) for data management and analysis
Understanding of commercial pharma operations, data automation, and AI-driven analytics
Strong ability to collaborate across commercial and IT
Excellent communication and stakeholder management skills
Proven track record of leading cross-functional projects, managing vendors, and optimizing commercial data assets

Benefits

Comp & perks

Hybrid work arrangement
Occasional travel of less than 10% of the time