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Data Management Specialist, Digital Transformation

2 months ago


Cincinnati, Ohio, United States Genpact Full time
About the Role

We are seeking a highly skilled Data Management Specialist to join our team at Genpact. As a key member of our Digital Technology organization, you will play a critical role in driving internal transformation and partnering with our business functional leaders to implement and drive improved data quality, data integrity, and data governance.

Key Responsibilities
  • Develop and Implement Data Governance Framework: Collaborate with the data governance team to establish a robust data governance framework that ensures data quality, accuracy, and consistency across the organization.
  • Lead Cross-Functional Teams: Oversee and engage with data domain and data owners across multiple functions to integrate programs into overall strategic objectives aligned with data policies and processes.
  • Measure Business Performance Metrics: Develop and execute a strategy for measuring business performance metrics for data quality, completeness, and accuracy.
  • Ensure Data Management Process Effectiveness: Oversee the data management process to ensure it is effective in driving architecture, instance, integration, MBE, and security requirements.
  • Connect and Improve Data Flow: Connect and improve data flow down from contract initiation to shop, product line, and key stakeholders across the enterprise.
  • Support Process Flows and Data Requirements: Support mapping and design of process flows across functions and key users as necessary to support objectives.
  • Participate in Master Data Management Strategies: Participate in the development of master data management strategies, implementation roadmaps, and business cases.
  • Establish Critical Data Elements and Metadata Rules: Help establish and define important critical data elements, metadata rules for use, format, and lineage.
  • Lead Implementation and Ongoing Management: Lead the implementation and ongoing management of attribute naming conventions, industry/trade standardization, and categorizations.
  • Promote Lean Mindset and Continuous Improvement: Promote a lean mindset as it pertains to the team's operational effectiveness and opportunities to continuously improve the master process across the business.
  • Mentor and Coach Team Members: Mentor, coach, and develop contract master data stewards and operations team members on data management best practices and information quality standards.
  • Develop Team Member Goals and Measurement Strategy: 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: Drive business process change (simplification) by influencing cross-functional departments.
  • Lead with a Hands-On Approach: 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 and Training: Facilitate engagement with departments and leaders to train and educate the use and adoption of data management.
  • Improve Trust in Critical Data Elements: Improve trust in contract critical data elements by defining and improving data quality.
  • Effectively Communicate and Manage Escalations: Effectively communicate and manage escalations to senior leadership.
Qualifications and Skills
  • Minimum Qualifications: Bachelor's Degree, 5+ years' experience in business management, master data management, data governance, and/or enterprise data management.
  • 5+ Years Managing Cross-Functional Teams: Experience managing cross-functional teams.
  • Experience Standing Up or Maintaining Data Governance Program: Experience standing up or maintaining a data governance program.
  • Demonstrated Lean / Continuous Improvement Experience and Mindset: Demonstrated lean / continuous improvement experience and mindset.
  • Technology Experience in Data Management, MDM, and Data Quality Technologies: Experience with data management, MDM, and data quality technologies.
  • History Working with Large Datasets, Metadata Management, and Data Models: History working with large datasets, metadata management, and data models.
  • Experience with Business Operations and B2B: Experience with business operations and B2B.
  • Models' Humility, Transparency, and Focus: Models' humility, transparency, and focus.
Preferred Qualifications and Skills
  • Passionate about Driving Change and Influence Transformational Change: Passionate about driving change and influence transformational change.
  • Experience Directly Managing Individuals or Managers: Experience directly managing individuals or managers.
  • Demonstrated Ability to Lead in a Highly Matrixed Environment: Demonstrated ability to lead in a highly matrixed environment.
  • Ability to Work with Cross-Functional Teams: 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: 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: Key understanding of the importance of change management in the implementation of data and information management strategies.
  • Excellent Collaboration, Communication, and Leadership Skills: Excellent collaboration, communication, and leadership skills.
  • Experience Working Across Multiple Functions and with Global Resources: Experience working across multiple functions and with global resources.
  • Demonstrated Ability to Deliver Large-Scale Programs: Demonstrated ability to deliver large-scale programs.