Manager, Enterprise Data & Insights Platform
Description
About Pacira
Pacira BioSciences, Inc. is a leading provider of non-opioid pain management and regenerative health solutions dedicated to improving outcomes for health care practitioners and their patients. Our in-depth knowledge of non-opioid pain management, coupled with our passion for advancing patient care, drives our commitment to providing solutions that address unmet medical needs and improve clinical results.
Why work with us?
Rarely do you have an opportunity to do work that really matters. What drives us is our mission. What makes us successful are our people. At Pacira, you are part of an inclusive culture that fosters collaboration, growth, and innovative thinking - a place where you can make an impact and help change the standard of care in non-opioid pain management. Be part of our movement, let’s pursue excellence together.
Summary:
This role focuses on managing and operating Pacira’s Enterprise Data and Insights Platform (EDIP).
Responsibilities include but are not limited to managing how data and/or insights are consumed and ensuring alignment of EDIP to the needs of the business. In collaboration with partners, the role ensures EDIP conforms with regulatory, security and data governance requirements, and defines nonfunctional requirements such as shareability, reusability, concurrency of access, performance, and refresh rates.
Essential Duties & Responsibilities:
The following statements are intended to describe the general nature and level of work being performed by an individual assigned to this job. Other duties may be assigned.
- Manage the daily activities of the Team responsible for the design, implementation, maintenance and support of EDIP and projects.
- Oversee data design and creation of database architecture and data repositories.
- Ensure that all phases and processes in the data supply chain are fully supported to ensure high levels of data quality, security and privacy.
- Identify high business value data and insight use cases and support prioritization based on feasibility and value.
- Manage the relationship with 3rd Party Data Vendors as well as the Vendor supporting EDIP.
- Ensure data integrity and quality, implementing corrective measures when necessary.
- Lead data-related projects, coordinating with other departments to ensure project success.
- Develop strategies to optimize data flow and quality, improving efficiency and effectiveness.
- Work with Enterprise counterparts (e.g., Commercial Operations, and Analytic Teams) to ensure the platform meets Enterprise’s data and insights needs.
- Monitor data warehouse performance, troubleshoot technical issues, and maintain data integrity and security.
- Track and report on budget performance, providing insights and recommendations for optimization.
Supervisory Responsibilities:
This role may have supervisory responsibilities.
Education and Experience:
- Bachelor's degree in Computer Science, Information Systems or a related field is required
- 8 years of enterprise data warehousing, data modeling and data mining experience required
- Experience operating an Enterprise Data Warehouse platform in the Life Sciences industry required
- Proficiency in SQL and general data analysis techniques required
Qualifications:
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.
Knowledge, Skills, and Abilities:
- Proven track record of developing, executing and operating successful insights and analytics projects across a wide range of internal stakeholders
- Working knowledge of commercial and corporate data sources and tools (e.g., Veeva, SAP, ADP)
- Able to travel 10%
- Strong project and process management skills including the ability to manage multiple projects, set priorities and meet deadlines
- Solid understanding of the concepts, methods and techniques used:
- Analytics, for example diagnostic, descriptive, predictive, and prescriptive.
- Data management, for example data integration and transformation (ETL) and Master Data Management (MDM).
- Data architecture, for example the difference between data warehouse, data lake or data hub.
- Data structures, for example structured, semi structured and unstructured data.
- Data governance, for example MDM, data quality and data stewardship practices.
- Experience with life science commercial, corporate and supply chain management business process and associated data along with analytic methods:
- Business acumen, for example understanding business concepts
- Business process transformation, for example with Digital Transformation the ability to understand how data and insights help implement ROI measurement of campaigns.
- Strong understanding and experience of the methods and techniques of Data and Analytics along with the technology supporting Data and Analytics.
- Programming languages like SQL, Python or R and notebooks like R Studio or Jupyter
- Microsoft Data and Analytics platforms like Dataverse
- Analytics and business intelligence tools like Microsoft Power BI, Tableau, and excel (power query)
Physical Demands:
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Work Environment:
The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.
The work setting is consistent of a typical pharmaceutical office environment with offices and cubicles.
Benefits:
- Medical, Prescription, Dental, Vision Coverage
- Flexible Spending Account & Health Savings Account with Company match
- Employee Assistance Program
- Mental Health Resources
- Disability Coverage
- Life insurance
- Critical Illness and Accident Insurance
- Legal and Identity Theft Protection
- Pet Insurance
- Fertility and Maternity Assistance
- 401(k) with company match
- Flexible Time Off (FTO) and 11 paid holidays
- Paid Parental Leave
EEO Statement:
Pacira is proud to be an Equal Opportunity Employer and does not discriminate against applicants because of race, color, religion, sex (including gender identity, sexual orientation, and pregnancy), national origin, age (40 or older), veteran status, disability or genetic information, or any other characteristic protected under applicable federal, state, or local law.
At Pacira we are committed to intentionally cultivating a culture of inclusion where all feel welcomed and valued for their background, perspectives, and experiences. We hold one another accountable to promote trust and transparency in support of our communities and collective purpose.
Agency Disclaimer:
Pacira Biosciences, Inc. (Hereafter, Pacira) does not accept unsolicited resumes from recruiters or employment agencies in response to the Pacira Careers page or a Pacira social media post. Pacira will not consider or agree to payment of any referral compensation or recruiter fee relating to unsolicited resumes. Pacira explicitly reserves the right to hire said candidate(s) without any financial obligation to the recruiter or agency. Any unsolicited resumes, including those submitted to hiring managers, are deemed to be the property of Pacira.