Data Governance Manager

Only independent candidates can apply Data Governance Manager 12+ months contract Danvers, MA Need Citizens Only Acts as a leading expert who is viewed as a valuable resource by peers, in Data & Analytics organization, the wider Data Community and Abiomed 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 Abiomed's 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 Abiomed on data governance efforts internally and in larger MedTech organisation 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.