Data & Data Governance SME
Wipro · Hyderabad
Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com.Job Description
| · Strong understanding of enterprise data management principles, data governance frameworks, and master data management practices across manufacturing and industrial environments. |
| · Experienced in establishing and supporting data governance processes, including data ownership, stewardship, data quality management, and compliance controls. |
| · Hands-on experience in managing OT, IT, engineering, maintenance, operations, and business data required for digital transformation initiatives. |
| · Skilled in data profiling, data cleansing, data standardisation, and data-quality assessments to improve data accuracy, consistency, and usability. |
| · Supports creation and maintenance of data dictionaries, business glossaries, metadata repositories, and data lineage documentation. |
| · Experienced in implementing data governance standards, policies, and controls to ensure reliable, secure, and trusted enterprise data. |
| · Works closely with business functions, tower leads, and technology teams to identify data requirements and establish governance processes that support operational and strategic objectives. |
| · Knowledge of industrial data platforms, historians, ERP systems, EAM/APM solutions, and cloud-based data architectures. |
| · Skilled in defining and monitoring data quality KPIs, governance metrics, and compliance reporting to drive continuous improvement. |
| · Assists in data migration, data harmonisation, and master-data governance initiatives during enterprise transformation programmes. |
| · Enables analytics, reporting, AI, and digital twin initiatives by ensuring the availability of high-quality, governed, and business-ready data. |
| · Supports regulatory compliance requirements related to data privacy, security, retention, and data lifecycle management. |
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Areas of Responsibilities
Business process analysis-Review deliverables defined as part of domain-led transformation initiatives to ensure successful execution.
Market research & benchmarking-"Review of forecasting models, cost benefit analysis and define alternate process methodologies applied as part of benchmarking and analysis.
Plan and forecast strategies across enterprise engagements, ensuring consistency and scalability. "
Optimization Initiatives-"Lead domain optimization and solution programs, ensuring governance, quality, and value creation for clients.
Conduct performance review, facilitate professional development and mentor consultants."
Technical Documentation-"Review and approve documentation ensuring functional accuracy, completeness, and alignment with domain standards and organizational objectives.
Provide guidance to teams in maintaining consistency, clarity, and quality across all deliverables.
Lead initiatives to articulate complex technical concepts into clear communication materials, ensuring alignment with business and objectives."
Revenue Growth-"Lead budget performance by monitoring project financials, optimizing resource utilization, and ensuring adherence to defined margin targets.
Identify mining opportunities in the existing accounts and participate in RFP discussions."
Thought Leadership -Create whitepapers, reusable frameworks, and knowledge assets, while guiding teams to adopt best practices and innovative approaches.