Drag

Data Analyst

Location : ,

Job Description

12 months

Phone and skype

Onsite : Cincinnati, OH( Need local candidate only )

Job Title: Data Management Leader

Responsibilities:

  • Develop and implement a Data Governance framework for the Department in coordination with the Company’s Data Governance Team.
  • Maintain effective working relationships with cross functional business leaders, stakeholders, end users, and partners to integrate programs into overall strategic objectives aligned with data policies and processes.
  • Oversee and engage with data domain and data owners across multiple functions for data tagging, establishing metrics, and approvals, promoting adoption of Governance process.
  • Develop and execute a strategy for measuring business performance metrics for data quality (completeness and accuracy).
  • Ensure data management process is effective to drive architecture, instance, integration, MBE and security requirements.
  • Connect and improve data flow down from contract initiation to shop, product line, and key stakeholders across the enterprise.
  • Support mapping and design of process flows across functions and key users as necessary to support objectives.
  • Understand and evaluate business processes, enabling the successful translation of business needs into data requirements.
  • Participate in development of master data management strategies, implementation roadmaps and business cases.
  • Help establish and define important critical data elements, metadata rules for use, format, and lineage.
  • Support building and governing master data guidelines, data standards, and data dictionaries.
  • Lead implementation, and ongoing management of attribute naming conventions, industry/trade standardization, and categorizations.
  • Develop, deploy, and monitor policies and processes established for managing master data within the Department and with Company’s source systems, automated and manual processes.
  • Promote Lean mindset as it pertains to the team’s operational effectiveness and opportunities to continuously improve the master process across the business.
  • Mentor, coach and develop contract master data stewards and operations team members on data management best practices and information quality standards.
  • Develop master data team member goals and measurement strategy that aligns team members' work to operational processes (SLA’s), data quality, and enterprise data management goals.
  • Drive business process change (simplification) by influencing cross functional departments.
  • Lead with a hands-on approach – drive accountability to continuously improve enterprise standards, and grow the team's capability set from both depth and breadth perspective.
  • Facilitate engagement with departments and leaders to train and educate the use and adoption of data management.
  • Improve trust in contract critical data elements by defining and improving data quality.
  • Effectively communicate and manage escalations to senior leadership.
  • Ensure conformance to all applicable Company’s standards, policies, and guidelines.

Required Characteristics:

  • Bachelor’s Degree, 10 + years’ experience in business management, Master Data Management, Data Governance and/or Enterprise Data Management.
  • 10+ years managing cross functional teams.
  • Experience standing up or maintaining data governance program
  • Demonstrated lean / continuous improvement experience and mindset.
  • Technology experience in data management, MDM, and data quality technologies.
  • History working with large datasets, metadata management, and data models.
  • Experience with business operations and B2B.
  • Models’ humility, transparency, and focus.

Desired Characteristics:

  • Passionate about driving change and influence transformational change.
  • Experience directly managing individuals or managers.
  • Demonstrated ability to lead in a highly matrixed environment.
  • Ability to work with cross functional teams to drive operationalizing contract data products
  • Hands on experience in solving challenges for master data management, data quality problems or complex data integrations.
  • Key understanding of the importance of change management in the implementation of data and information management strategies.
  • Excellent collaboration, communication, and leadership skills.
  • Experience working across multiple functions and with global resources.
  • Demonstrated ability to deliver large scale programs.