Partnered with Solution Architect to understand the business needs, strategic objectives, processes, and how data and analytics are used within domain.
Translates business strategies into actionable business-oriented data management strategies for the assigned domain.
Operationalizes data strategy with domain, including identifying data needs, ensuring implementation of data standards, ensuring due data access.
Defines and executes standards for data within assigned domain (e.g., define data quality rules, create data quality remediation plans)
Manages new data initiatives and related projects by defining high-level business cases, providing requirements, and tracking and prioritizing data projects within domain.
Manages access and provisioning by defining access permission plan, monitoring distribution of data from domain, approving data provisioning to authorized users, supporting data users as a subject matter expert of data in domain
Serves as master and go-to-person for data policies and standards within their domain.
Determines official sources of data in scope.
Defines/validates business definitions for data elements.
Reviews data lineage and technical metadata for data elements
Identifies needs for changes in metadata within the domain.
Implements changes to business definitions.
Identifies candidates for critical data elements
(CDE) and prioritizes CDEs using criteria established by enterprise data management.
Defines business rules for data within domain.
Prioritizes data quality issues to remediate.
Reviews, approves, and oversees data quality remediation plans.
Other Responsibilities:
Perform all activities in a safe and responsible manner and support all Environmental, Health, Safety & Security requirements, and programs.
Required Qualifications:
Bachelor's degree in quantitative discipline, computer engineering, computer science, Information Technology, or a related field
A minimum of 5 years of experience in data governance related roles.
A minimum of 3 years in a management role with strong leadership skills.
Ability to translate business requirements into technical requirements.
Experience in performance metrics.
Foundational knowledge in data architecture and data engineering, good understanding of data sources, transformation rules, and uses of the data for the area of stewardship.
Strong project management skills
Demonstrated ability to efficiently learn new business domains and problems.
Strong interpersonal and communication skills, ability to influence others and form deep relationships with business and technical colleagues.
Attention to detail and have a can do attitude not afraid of roll up the sleeves.
Focuses on agile delivery with a fail-fast, succeed early mindset and measurable outcomes.
