Excellent leadership, problem-solving, organizational, presentation skills, analytical & critical thinking skills with an ability to manage competing demands Proven track record of delivery medium and high complexity projects and programs identifying, and leading continuous improvement as required Ability to proactively escalate issues to appropriate levels of management in the organization Ability to lead others during ambiguity Ability to work in a fast-paced environment Ability to influence others without having direct authority over them
Excellent verbal and written communication skills and experience interacting with both business and IT individuals at all levels including the executive level
10+ years of experience within enterprise MDM, data quality, data governance and/or analytics functions with a track record of managing large, complex projects in a medical device and life sciences vertical.
Bachelor's degree required, Master's degree a plus Project Management Professional (PMP) certification preferred Direct experience implementing and managing MDM, data quality, stewardship and analytics programs Strong knowledge of Data and Analytics capabilities Practical experience with Dun and Bradstreet and other data enrichment vendors (e.g, Medpro, Veeva Open data, IQVIA) data Practical experience with enterprise MDM tools. (Informatica Multi-Domain MDM is preferred)
Demonstrated ability to manage data governance council expectations, lead discussions, and get business stakeholders buy-in to solution proposals Proven experience translating business problems into actionable Data and Analytics initiatives Prior experience with scrum or agile methodologies used in enterprise-level application development projects to focus on delivering value incrementally Sufficient level of technical background to provide highly credible leadership to development teams and to be able to accurately and objectively evaluate complex project risks and issues Knowledge and understanding of business needs with the ability to establish and maintain stakeholder trust and confidence
Experience within a regulated environment (medical device or life sciences) preferred High level understanding of data management tools (eg., Informatica Master data management, Informatica Data Quality, Collibra, AWS data lake, snowflake, ) preferred
Understanding or certification on Data Management Book of Knowledge (DAMA) preferred
We are an equal opportunity employer and make hiring decisions based on merit. Recruitment, hiring, training, and job assignments are made without regard to race, color, national origin, age, ancestry, religion, sex, sexual orientation, gender identity, gender expression, marital status, disability, or any other protected classification. We consider all qualified applicants, including those with criminal histories, in a manner consistent with state and local laws, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance.