Senior Data Governance Consultant Resume

SUMMARY

Senior Technology leader with demonstrated expertise in the design, development, architecture, administration, governance, and implementation of data - intensive applications.
Adept at creating intuitive architecture that enables organizations to effectively analyze, process, and govern from enterprise data to large volumes of structured and unstructured data.
Aptitude for guiding strategic direction and defining strategies to meet the objectives of organizations within the Healthcare, Insurance, Finance, Healthcare, Travel, and Telecommunications industry verticals.
L everaging sound business and technical acumen to elicit business requirements and guide the delivery of systems and analytics to measure performance and improve business processes.

PROFESSIONAL EXPERIENCE

Confidential

Senior Data Governance Consultant

Responsibilities:

Performed data governance maturity assessment, developed solution recommendations, and roadmap
Developed data governance foundation components - DG team structure, DG roles/responsibilities, DG performance metrics, DG engagement model with data projects, data policy framework, data domain/subdomain hierarchies
Performed metadata tool assessment for five tools and developed recommendations
Developed data policies, procedures, and guidelines
Developed process and guidelines for business glossary development
Developed training for data owner, data steward, data custodian, and delivery project team
Designed patterns and workflows for data access management
Conducted scrum planning meetings, retrospective meeting created backlogs, stories and managed eight DG team members

Confidential

Director, Data Management

Responsibilities:

Defined and established a data governance framework and methodology using data stewardship approach. Hired and developed a stewardship team
Collaborated with senior leadership to assess the end-to-end data management process and business impact, leading to a recommendation to develop a data lake and bring operations in-house
Implemented a data lake to better manage availability, quality, consistency, and access to enterprise data. Implemented big data discovery to allow analysts and data scientists to explore data directly from data lake through controlled access
Developed an Enterprise Conceptual Data Model to represent business data domains and led the deployment of Big Data technology ecosystems in-house and refactoring major refactoring of the Enterprise Data Warehouse by removing redundant structures
Manage a budget of over $5M for data management

Confidential

Sr. Manager, Data Architecture and Strategy Lead

Responsibilities:

Refactored current data governance program and strengthened data ownerships, data stewardships, data quality, data access and controls
Developed solution of data classification that enabled a controlled access and retention of data.
Worked closely with senior leaders and C-level executives to gain insight and vision to develop Data and BI strategy, data architecture, and data g overnance solutions
Developed and deployed solution targets for business and data capabilities through the development of enterprise data warehouse, ODS, and Data Lake
Led three-year migration of SQL Server Data Warehouse to Teradata budgeted over $10 M
Developed standards and best practices to support end-to-end data management
Implemented Tableau and Lumira visualization tools across the enterprise
Developed Big Data strategy and roadmap leveraging Cloudera Hadoop ecosystems for data storage and analysis on AWS Cloud. Extensively involved in the development of Data Lake architecture