Key contributor for data stewardship workgroups and teams in data management and governance activities
Be a champion or ambassador of metadata and data quality practices across the organization – leading lunch ‘n’ learn sessions, knowledge sharing sessions, etc.
Gain an understanding of the stakeholder’s business culture and priorities, and the need for different modeling techniques when eliciting definitions and data quality requirements
Accountable and responsible for the engineering success of specific data governance engineering programs (e.g. Metadata and Cataloging Program, Data Quality Program)
Perform analysis and research to support and/or develop glossary definitions, policies, programs, standards, guidelines and workflows
Lead the development and maintenance of metadata catalogs
Identify and quantify data related pain points within the organization and assist in the development of remediation plans
Collaborate with SMEs to develop business rules that measure and assure data quality; facilitating discussions with end users and data modelers
Lead efforts to quantify and qualify reported data quality issues; develop and report program metrics to demonstrate progress and compliance
Sets objectives for own job with the understanding of how output would affect and impact other job areas related to own job
Contributes and provides input to the development of operational area goals within the context of own job area
Work consists of tasks that are typically not routine, works independently and applies discretion within established operational boundaries and procedures
Work direction is only provided for new areas of work or unique assignments
Problems and issues faced are vague, and require reasoning and analysis to address problems and issues
Updates and/or modifies work methods based on past experiences, and identifies solutions to problems by recognizing similarities through data trends
Has higher autonomy to arrive at solutions to non-routine problems within established operational boundaries and procedures
Uses personal experiences, makes reasonable judgment calls, and may call on other resources where necessary to identify solutions
Perform any other job duties as requested

Requirements

Bachelor’s degree in Computer Science or related field or equivalent years of relevant work experience
A minimum of five (5) years of experience designing and developing ETL and/or BI solutions
Demonstrable experience in all stages of definition, design, implementation, testing and deployment of complex database, ETL, BI and Analytical solutions
Healthcare payer experience is preferred
Participation and experience working within a formal Data Warehouse and Governance environment is preferred
Proven ability to write complex SQL queries
Proven ability developing medium to complex data quality profiling or metadata analysis processes with an industry leading tool
Ability to manage multiple medium to large scale projects while demonstrating a sense of urgency
Solid understanding of data management and governance concepts, especially data quality and metadata management
Proven understanding of relational database theory
Ability to establish effective working relationships with stakeholders at all different levels
Effective problem-solving skills with attention to detail
Strong interpersonal skills including excellent written and verbal communication skills; listening and critical thinking
Ability to effectively prioritize and execute tasks while working both independently and in a team-oriented, collaborative environment

Benefits

Health insurance
401(k) matching
Paid time off
Flexible work arrangements
Professional development
Bonuses

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

ETLBI solutionsSQLdata quality profilingmetadata analysisdata managementdata governancerelational database theorydatabase designdata modeling

Soft Skills

problem-solvingattention to detailinterpersonal skillswritten communicationverbal communicationlisteningcritical thinkingcollaborationproject managementprioritization