·
Demonstrate strong
information management, data quality, data analytics, and architecture skills
including a strong working knowledge of data infrastructure and various
technology reporting platforms
·
Provide leadership,
motivation and establish a teamwork environment for the cross functional data
quality team and processes; and advises, influences and coaches other team
members in the development and achievement of data quality program goals
·
Play a key role in leading
the development, documentation, and implementation of data quality procedures
and standards to support enterprise data management (EDM)
·
Work with business partners,
data management stakeholders and the IT departments to define and document data
quality rules, targets, and standards
·
Establish change controls
over quality standards and work with functional and IT partners to enforce
within organization
·
Work with IT resources to
turn business quality rules into technical requirements and manage / coordinate
business testing and certification activities with data stewards and owners
·
Partner with data stewards
and owners to implement, enhance, and manage governance dashboarding capability
on quality metrics
·
Define user experience
standards and exception reporting capability
·
Partner with IT to implement
data quality mart and data quality trend reporting
·
Implement and manage training
and education in the data quality space with users to ensure use and adoption
of data quality tools and processes to improve quality of data
·
Facilitate and provide data
quality subject matter expertise within the organization working groups focused
on data quality improvement efforts
·
Oversee the development and
implementation of detailed project and work plans for data quality monitoring
and reporting efforts within the organization
·
Coordinate the planning,
documenting and execution activities for the projects; along with tasks,
budgets, timelines, and project staffing to successfully complete projects on a
timely basis and within budget
·
Develop documentation to
support the project planning and implementation process
·
Lead and provide support to project
teams by facilitating/attending project meetings, documenting minutes and
action items, responding to assigned tasks when due
·
Provide recommendations for
measuring and improving the effectiveness and efficiency of operational control
processes, and data compliance activities
·
Support proactive profiling,
data lineage reviewing, performing root cause triage, and support identifying
appropriate owners for fixing root causes of the issues
·
Develop and refine high
quality monthly and quarterly metrics reporting and publishing capability
demonstrating program activities and communication to stakeholders & senior
leadership
Skills & Experience Required:
·
A Bachelor degree with a
minimum of 4 years of experience in data quality/governance-related work or
similar
·
4 years of experience in a
technology organization/Saas subscription-based model preferred
·
Strong Informatica Data
Quality and SQL and relational database/data warehouse (SAP, Oracle, SQL
Server) skills, data analysis experience is required to be successful in this
role
·
A techno-functional
individual with strong business acumen is required
·
Experience with reporting
tools like SAP Business Objects, Tableau, Power BI, etc. is desired
·
In-depth experience in
Informatica Data Quality to develop, customize, and enhance data quality rules
is required
·
Knowledge of industry-leading
data quality and issue management tools and practices
·
Knowledge of data related to
government regulatory requirements and emerging trends and issues
·
Strong knowledge and
experience in data-related activities (data quality, data governance, metadata,
data management, data standards, data structures, data aggregation, and
business requirements)
·
Strong written and verbal
communication skills with the ability to speak to varying levels across the
organization
·
Development and championing
of cross-functional engagement within data governance and to other business /
IT groups
·
Ability to get to the heart
of the problem and make sound and timely decisions to resolve problems
·
Ability to connect
data/metrics to business impact metrics and results
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