The company works across innovative medicine and medtech, developing treatments meant to prevent, treat, or cure complex diseases.
The innovative medicine team uses patient insight to guide its science, taking work from the lab toward patient care.
This is a professional role in data analytics and computational sciences, within data science portfolio management.
The associate director manages customer master and reference data for the innovative medicine business, keeping it timely and high quality, and serves as data product owner for the account data product, the source of truth for all healthcare organization account data.
The role oversees customer and vendor data specifications, guides local and vendor teams, and sets the rules and process for changes. It works with IT and business partners and shares responsibility with the director of data management for data acquisition, contracting, and the value of data investments.
Responsibilities
Lead the ongoing quality and proper use of the innovative medicine data pipeline that supports sales and marketing.
Define best practices and processes that make customer and vendor data management more efficient.
Lead the solution design and build of a single source of truth through the MDM customer and account data products.
Identify and set strategies for connecting master data and data products with other operational systems so the data is used more effectively.
Put MDM standards in place, enforce data governance procedures, and protect data integrity across multiple platforms.
Lead and manage the team on MDM tasks such as cleanse rules, survivorship, and match rules.
Track team progress, flag risks and issues, and show leadership the value of projects.
Check master data quality in key systems and document processes with other data owners to maintain integrity.
Oversee resolution of data change requests from the innovative medicine organization.
Find root causes of data quality problems in your stewardship area and fix them in a lasting way.
As data product owner, set the vision, goals, roadmap, value proposition, and measures; identify new use cases and projects; drive adoption and tracking; and run requirements gathering with business data experts and IT.
Coordinate with cross-functional teams to resolve operational issues.
Work with IT teams to carry out current plans and programs.
With subject matter experts and data stewards, define and implement data strategy, policies, controls, and programs so enterprise data is accurate, complete, secure, and reliable.
Requirements
A bachelor's degree (BA or BS) or equivalent in business, technology, analytics, or health sciences is required.
A master's degree or equivalent experience is an asset.
Required: 7+ years of validated experience in data management, analytics, insights, or other commercial excellence roles in pharmaceutical or life sciences.
Required: working knowledge of pharma syndicated and secondary data from major vendors, including IQVIA, Veeva, Definitive Healthcare, American Hospital Association (AHA), American Medical Association (AMA), and MedPro.
Required: a strong analytics toolkit, including modern business intelligence tools and infrastructure for managing large data, plus proficiency in PowerPoint, Excel, and Word.
Required: a proven record as a project manager on cross-functional technology projects.
Required: strong analytical, problem-solving, and business and data analysis skills, focused on MDM operational processes across multiple therapeutic areas.
Required: experience with MDM tools such as Informatica and Reltio, and applying them within an MDM solution.
Required: strong written and verbal communication, including the ability to simplify complex technical issues.
Required: customer focus, relationship building, issue identification and resolution, problem-solving, and project management.
Required: detail-oriented and results-driven.
Required: apply policies and standards consistently.
Required: vendor management, including an outsourced stewardship team.
Preferred: a demonstrated commitment to learning emerging technologies such as AI, through testing, iterating, and applying new tools over time.
Preferred skills: advanced analytics, budget management, compliance management, critical thinking, cross-functional collaboration, data analysis, data privacy standards, data quality, data reporting, data savvy, data science, data visualization, developing others, digital fluency, inclusive leadership, leadership, strategic thinking, and team management.
Conditions
Hybrid work, based in Titusville, NJ or Horsham, PA.
The anticipated base pay range is $137,000.00 - $235,750.00.
The company offers an inclusive interview process and will provide accommodations to applicants with disabilities on request.
Benefits
Pension and 401(k) savings plan, subject to plan terms.
Time off is subject to policy and date of hire. Vacation: 120 hours per calendar year.
Sick time: 40 hours per calendar year; 48 hours for employees in Colorado; 56 hours for employees in Washington.
Holiday pay, including floating holidays: 13 days per calendar year.
Work, personal and family time: up to 40 hours per calendar year.
Parental leave: 480 hours within one year of the birth, adoption, or foster care of a child.
Bereavement leave: 240 hours for an immediate family member; 40 hours for an extended family member, per calendar year.
Caregiver leave: 80 hours in a 52-week rolling period, plus 10 days.
Volunteer leave: 32 hours per calendar year.
Military spouse time off: 80 hours per calendar year.
More detail on company benefits is available on the company careers site.