Manager, Commercial Master Data Management (MDM)

Alkermes

20h•$126,000 - $147,000•Hybrid

About The Position

This position will be responsible for the stewardship of the Commercial master data assets, with focus on customer master data including key attributes for prescribers, accounts, payers, and affiliations. As a member of the Commercial Data Management team, this position will report to the Director, Commercial Master Data Management, and work closely with Field Operations, Analytics, Sales, IT, and data management service providers to manage and enhance our master data, research and resolve data issues / discrepancies, and improve relevant systems and processes. In addition, this position will collaborate with other functions including Legal, Finance, and external vendors to enforce data governance standards, policies, and best practices, ensuring data quality and reliability to enable more accurate and insightful analytics, reporting, and decision-making. This position will work a weekly hybrid schedule in our Waltham office.

Requirements

Bachelor’s degree required
4-6 years’ experience supporting pharmaceutical commercial operations with 1-2 years’ experience in an MDM related role required
Experience with MDM concepts such as match & merge, survivorship, and data standardization required
Experience with Veeva CRM and Informatica MDM preferred
Experience with common pharmaceutical commercial datasets such as IQVIA OneKey, Xponent, DDD, Claims data, Formulary data, Specialty Pharmacy data preferred
Understand the core principles and dimensions of data management within the life science sector
Proficient with SQL/Snowflake, Tableau, and Microsoft Office applications including Excel and PowerPoint

Nice To Haves

Strong sense of ownership and accountability
Effective problem-solving skills and attention to details
Determination to ensure high quality of data
Good written and verbal communication skills with the ability to develop and articulate recommendations
Ability to work with individuals in different functional areas
Ability to meet deadlines and multi-task
Proven self-starter with an innovative and customer-focused mindset
Flexibility to quickly learn new system applications and business processes
Ability to work a weekly hybrid schedule in our Waltham office

Responsibilities

Data Stewardship & Operations
Manage a team of data stewards (internal and/or external) to provide direction and guidance to manage the Commercial master data assets
Lead timely resolution of field-submitted Data Change Requests (DCRs) and data inquiries from field and home office users
Monitor incoming requests, research data issues / discrepancies, make decisions, implement changes in systems and processes, and communicate decisions back to impacted teams
Create and maintain department work instructions and documentation for master data management
Data Quality & Analytics
Independently c onduct regular data quality assessments, identify issues, and collaborate with relevant teams to rectify data discrepancies and anomalies
Provide guidance and recommendations to improve master data quality for customers including HCP, HCO, and affiliations
Create and maintain exception reports using SQL, MDM, or CRM report building functions to identify and correct inaccurate customer data attributes
Provide standard and ad hoc analysis and reports to generate insights and enrich master data
Collaboration & Innovation
Participate in and lead discussions on master data in cross-functional meetings such as the Commercial Data & Operations End-to-End meetings and CRM and Sales Reporting enhancement meetings
Collaborate with commercial stakeholders, IT, and external vendors on requirement gathering, development, and testing of new data and system changes
Develop and provide training and guidance to teams across the Commercial organization on data stewardship best practices and process involving data
Engage with industry resources to learn about best practices in maintaining high quality master data
Support the evaluation and implementation of advanced technologies, including AI/ML for automated data anomaly detection, processing, and stewardship