Job Description

Responsibilities:
- Data Requirements/Systems Analysis
- Capture documentation and analysis of data flows/traceability from end-to-end, with goal of determining enterprise data impacts.
- Support business units in articulating and documenting requirements and data mappings for enterprise data management processes and capabilities.
- Effectively communicate success criteria to the data management development and testing teams.
- Lead evaluation, selection, implementation, and support of new data management and governance technologies to support data stewardship, data quality, metadata management, data architecture, data modeling and data integration efforts.
- Collaborate with cross-functional stakeholders to define and promote new enterprise data management practices.
- Will have responsibilities for data domain/subject area stewardship related to Consumer and Merchant Data.
- Data Program Measurement/Support
- Measure KPIs to monitor and track business units progress towards data management and governance Objectives and Key Results (OKRs).
- Support all activities associated with the various Global Data Governance forums
- Work with business and technical data Stewards and key business stakeholders to understand business impacts, user
- requirements, and the feasibility of data management solutions.
- Ensure that all data management and governance activities within the Business Unit are in line with the overall business objectives and make sure that Data Governance is included in project implementation.
- Support integration of company's data governance into existing processes PDLC, SDLC, Architecture Review and Risk Control Processes.
- Provide end-to-end data governance coverage across business functions to achieve adoption of data governance process, standards, practices, and business value.
- Own alignment of business units data stewardship function with enterprise data management program to facilitate data ownership and accountability.

- Implement data governance procedures, processes, artifacts, documents, and training materials required to operate the Data Stewardship Program.
- Build positive and influential relationships across organizations through strong and collaborative interactions, proactive planning, and decisive leadership.

PR: $55 - $60/hour

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal. com. To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy:

Requirements:
- 5-7 years of enterprise data experience-understanding of data creation and consumption across the enterprise
- Experience with data management and data governance tools such as Collibra
- Experience with payments platforms and products
- Ability to read/understand Entity Relationship and logical data models
- Strong MS Office skills required
- Strong knowledge of payment industry business processes, platforms, and products
- Strong verbal and written communication and collaboration skills to effectively communicate across diverse groups within the org
- Comfortable working in a fast-paced, results-oriented environment
- Shows initiative and exhibits a can-do attitude
- Able to see the big picture-the end-to-end connection points associated with data and systems
- Display good verbal, written and presentation skills
- Exhibit a passion for Data Management and Analysis

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