Senior Manager, Data Governance & Policy - Contract to Hire Role

No 3rd PARTIES This is a 3-6 month contract to hire role with our fortune 100 life science client in the Northshore of MA. We have been working with them for over 20 years and you will be joining our team of 50+ professionals. Senior Manager, Data Governance & Policy Acts as a leading expert who is viewed as a valuable resource by peers, in Data & Analytics organization, the wider Data Community and our client as a whole, who manages large projects or processes of strategic importance to the organization's Data Governance & Policy function. Guides the execution of projects, programs, and processes that span multiple related areas in support of overall Data & Analytics strategy. Applies comprehensive knowledge of the Data Governance & Policy field to install best-in-class policies, procedures, and plans for the area. Job Description: • Acts independently to facilitate programs and innovative initiatives for the organization to advance Data Governance & Policy initiatives. • Works to achieve operational, functional, and business targets with measurable impact on results for the Data Governance & Policy area. • Leads the development of tools and integration for master data processes, including data cleansing and data validation. • Evaluates current and pending initiatives against industry standards. • Ensures that changes to the organization and business direction that impact the MDM program, data quality policy, data product definitions & contracts, data access & need to know are assessed and acted on, either by a central team or within business units, functional areas or geographies. • Represents client on data governance efforts internally and in larger MedTech organization by communicating strategy, rationale, goals, and policies. • Conducts advanced analyses of trends and the competitive landscape to continually improve the organization's data governance strategy. • Performs data analysis, data profiling, and data quality measurement across multiple sources to assess the data, identify anomalies, and recommend fixes. • Designs data quality rules according to the business needs to ensure clean and healthy data. • Guides the (junior) colleagues and the wider data community through consultation and mentoring in techniques and processes, and provides functional (matrix) supervision.