Edwards Lifesciences Sr. Manager, Product Data Governance in Irvine, California
The Enterprise Governance Office is responsible for the corporate data strategy that leverages data for actionable business outcomes improving operational performance and analytics insight. Our goal is to deliver the highest level of data quality, integrity, privacy, availability, security and usability for all data stakeholders.
As part of the Enterprise Data Office, the Sr. Manager, Product Data Governance will be a resident domain data expert and responsible for the implementation of the strategic roadmap, governance and data quality controls for Product/Item Master global fields across the end-end data lifecycle. In this role you will oversee the disciplined execution and adoption of the data governance framework working closely with business stewards who are data requestors, maintainers or consumers. You will also be responsible for leading, advising and supporting cross functional interactions across lines of business, functions, regions and IT to educate, monitor and ensure compliance of data management best practices that will enable continuous improvement and business value.
Enterprise Product Data Governance
Establish global consistency for data definitions, taxonomies, business rules and standards that improve data quality and integration across applications and functions for product master data.
Work closely with business data owners to build the business case to achieve the data vision, roadmap and priorities that drives continuous improvement, DQ automation and business value.
Develop and maintain a conceptual and logical data architecture framework and design standards for metadata management, master data management, and data quality management for product master attributes. Help the business steward community identify global, business unit and regional data attributes and their required metadata.
Support formal and informal data steward community by acting as "first line of defense" in fielding opportunities to improve data quality as well as resolving data issues. Acts as the subject area expert in their domain.
Work with business data owners and stewards across the lines of business within the end-end data lifecycle of the product master domain to ensure there isn’t conflict with other data elements or intended use.
Lead the Product Master Working council, managing cross LoB issue resolution, policy management and metrics focused on data quality improvement efforts. Support enterprise data-decision making processes and facilitate discussion to address conflicting viewpoints with the goal of arriving at mutually satisfactory agreements across Sales, R&D, Global Supply Chain, Sales Ops, Customer Service and Marketing.
Promote and educate others on data management practices to effectively implement and manage data governance standards and processes.
Coordinate and be the liaison for the planning, documenting and execution activities of data projects; along with tasks, budgets, timelines, and project staffing to successfully complete projects within the domain.
Work closely with data stewards to create and maintain records on all data sources used for reporting which may include a data model, associated meta model, common business vocabulary, data classifications and acceptable use in analytics.
Identify and analyze root causes of data quality problems within their assigned area of stewardship and identify sustainable solutions that embed quality checks closest to the source of creation.
Provide guidance to local and global resources to ensure the continuous improvement of business results through the implementation and management of standard Enterprise Master Data Management processes, tools, and accountabilities.
Validate and measure data quality, integrity, accuracy and consistency in the source and consuming systems.
Design, develop and maintain data quality dashboards in response to reviews with business units where data errors have been identified and ensure business rule changes are identified to permanently solve the issues.
Identify Key Business Elements and ensures they are fit for use have one consistent purpose and data quality metrics. Performs data quality rule checks to identify quality gaps in applicable dimensions based on intended use.
Support the business by defining data quality rules and developing the functional specification for the data quality developers to implement in the central rules’ engine.
Quantify the impact of poor data quality on the business and measure the benefits as issues are remediated.
Support proactive profiling, data lineage reviewing, performing root cause triage, and identify appropriate stewards for fixing root causes of the issues to improve information reliability.
Metadata and Catalog Management
Establish, manage and curate a data inventory/catalog with relevant metadata enabling business stakeholders to search and understand relevant data assets for analytics.
Manage the MDM Enterprise Logical Data Model for product which is the single source of truth for shared data promoting high level of consistency and reuse across all applications.
Map the data lineage across all applications and processes to enable an end-end view of where data is created, integrated and consumed to support audit compliance.
Maintain the Enterprise Data Catalog (EDC), Glossary and Reference Data (RDM) that support the data standards, data steward tasks, lineage and issue management in Collibra.
Design, build and deploy Data Governance workflows, templates and other artifacts to facilitate execution of various governance functions.
Manage the product master community in the governance platform to ensure critical data elements are governed and managed.
Bachelor's degree; preferably in a quantitative field.
8+ years in core data management competencies (DQ, MDM, Governance, Analytics, Data Modelling).
8+ years of experience with data management functions including data stewardship, data quality, metadata management, data modeling, data warehousing and business intelligence, master and reference data, data security, and data integration.
Experience with a Product Master MDM Hub (PIM/PDM) or experience with manufacturing and engineering (ERP/PLM) processes.
Demonstrated mastery over multiple data management capabilities and technologies (Informatica IDQ & MDM, Collibra, Reltio MDM, SAP) in helping to solve business opportunities.
Solid understanding of impact of strategy, process capability and governance on business performance.
Ability to analyze, document, and present business processes as they pertain to data quality issues.
Data driven passion, data certifications.
Lean Six Sigma project experience.
Exemplary problem-solving, business process and analytical skills.
Extreme attention to detail in all aspects of work and ability to manage complexity.
Self-motivated and able to work independently in a fast-faced global environment.
Strong interpersonal, conflict resolution, project management skills with the ability to influence and drive consensus.
Proactively resolves issues and skilled in making decisions.
Good analytical skills with the ability to identify and quantify business risks associated with data quality.
Demonstrates a deep and consistent focus on exceptional customer service to internal customers.
Excellent oral and written communication skills, and presentation skills.
Understanding of the healthcare industry and a willingness to maintain awareness of major healthcare trends.
Edwards is an Equal Opportunity/Affirmative Action employer including protected Veterans and individuals with disabilities.
Edwards Lifesciences is the global leader in patient-focused medical innovations for structural heart disease, as well as critical care and surgical monitoring. Driven by a passion to help patients, the company collaborates with the world's leading clinicians and researchers to address unmet healthcare needs, working to improve patient outcomes and enhance lives. Headquartered in Irvine, California, Edwards Lifesciences has extensive operations in North America, Europe, Japan, Latin America and Asia and currently employs over 13,000 individuals worldwide.
For us, helping patients is not a slogan - it's our life's work. From developing devices that replace or repair a diseased heart valve to creating new technologies that monitor vital signs in the critical care setting, we focus on helping patients regain and improve the quality of their life.