Overview:

The selected candidate will be responsible for data analysis and usage requirements and focuses solely on data. This includes but is not limited to analyzing key data, understanding the integration points, and the ability to write effective data requirements regarding business usage and assisting in any solution design. This role will also capture data issues during any work efforts with the business teams and provides the issue details, business usage and other important data facts to the data quality team. The position will understand and adhere to the enterprise data governance framework for data policies, standards and practices documented by the data governance team.

Essential Duties

 Create, document, and manage business conceptual data artifacts, such as conceptual models, critical data

element inventory, and define the data based on business usage

 Manage data requirements elicitation, analysis, and documentation processes to capture business needs.

 Manage and understand business process efforts that take data in, manipulate the data through business rules

and produce data outputs.

 Manage multiple requirements gathering efforts at one time and be able to assimilate into cohesive end to end

data requirements when there is data overlap.

 Communicate effectively with business partners to inform and influence important decisions required regarding

strategic data direction.

 Promote data governance and architecture

 Serve as a liaison between Business and Functional areas and technology to ensure that data related business

requirements are created for all other policies and standards that apply to data such as privacy, security, and risk,

 Assist Governance Team in capturing metrics that provide insights into effectiveness of data analysis and

requirements.

 Rationalize and coordinate external data sources to eliminate redundancy and streamline the expense related to

those services

 Identify and aggregate internal and external data sources

 Coordinate with data owners/stewards to ensure appropriate data accessibility and quality

 Work alongside Product and Engineering teams to ensure technical designs meet the data requirements.

 Work as part of an Agile system by writing JIRA stories and funneling work into appropriate Engineering teams,

acting as the liaison between the business and Engineering through delivery.

 Perform root cause analysis to determine root cause of data issues and provide recommendations for

remediation.

 Act as a data advisor in Product ensuring automation design, operational processes, and future reporting needs

are considered when designing and developing a new product

Education:

 B.S. or M.S. preferably in Computer Science or equivalent technical degree

Training Requirements (licenses, programs, or certificates):

 Relevant certifications in product management, machine learning, data science, and other disciplines would be a

plus.

Other Knowledge, Skills and Abilities:

 Excellent verbal and written communication skills

 Ability to communicate with employees at all levels of the organization

 Knowledge of industry leading data analysis and requirements practices

 Knowledge of data governance practices, business and technology issues related to management of enterprise

information assets and approaches related to data policies

 A demonstrated commitment to high professional ethical standards and a diverse workplace

 Ability to adapt to a fast paced continually changing business and work environment while managing multiple

priorities

 Experience or knowledge of the Informatica Tools; specifically, EDC, Axon and DPM preferred, but not required