Urgent Opening - Data stewardship - Bangalore - UK Shift
Genpact · Bengaluru · onsite · Posted 41d ago
Undisclosed2–7 yrsfulltimeSourced from
About a minute. You'll make an account on the way through.
About this role
Responsibilities
- Data Stewardship & Lifecycle Management
- Serve as a Data Steward to oversee the day-to-day management of customer data assets, implementing governance policies at an operational level.
- Maintain Metadata and data dictionaries to ensure standard definitions are used consistently across all business units.
- Document and safeguard Data Lineage to ensure transparency in how customer records are transformed from source to final reporting.
- Advanced Data Quality Management (DQM)
- Establish and monitor Data Quality Metrics (e.g., accuracy, completeness, timeliness) based on specific business rules.
- Perform root cause analysis on recurring data errors to isolate flaws in the information production flow.
- Execute Data Deduplication and enrichment to maintain a "single source of truth" for customer identities.
- Data Security, Privacy & Compliance
- Monitor data access controls to ensure sensitive customer information is only available to authorized personnel.
- Conduct regular Risk Assessments and audits to identify vulnerabilities in the data management chain.
- Collaboration & Strategic Alignment
- Act as a technical liaison between IT (custodians), senior management (owners), and business departments.
- Be part of Daily Stand-ups and cross-functional meetings to align on project blockers and ensure data initiatives meet business needs.
- Build relationships with stakeholders in Sales, Marketing, and Finance to understand their evolving data requirements.
- Data Literacy, Communication & Training
- Champion Data Literacy across the company by educating non-technical staff on how to interpret dashboards and apply data insights to daily decisions.
- Translate complex technical findings into actionable stories and clear visualizations for executive leadership.
- Develop and deliver Training Programs and SOPs
Qualifications we seek in you!
Minimum qualifications
- Bachelor's degree in Computer Science, Information Systems, or a related field
- OR equivalent work experience
- Proven experience in automating data management processes, preferably in customer master data domain.
- Proficiency in data analysis, data validation, and data cleansing techniques.
- Familiarity with data integration and synchronization concepts.
- Understanding of data privacy regulations and data governance principles.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration abilities to work effectively with cross-functional teams.
- Attention to detail and a commitment to delivering high-quality results.
- Ability to manage multiple priorities and meet deadlines in a fast-paced environment.
- Join our team and play a key role in optimizing customer master data management processes, enabling efficient and accurate data operations.
Experience
- 3-4+ years of relevant industrial experience in driving data quality governance
Key Competencies
- Strong communication skills; skilled at cross-functional and cross-organizational communication
- Demonstrated ability to champion Agentic AI adoption, aligning stakeholders, gathering requirements, and driving cross-functional implementation initiative
- Attention to detail and good articulation skills.
- Ability to traverse both vertically and horizontally in a large organizationRole & responsibilities
Preferred candidate profile
Sourced from naukri
Skills
data qualityData Quality ManagementData StewardshipData StewardData Governance
About Genpact

Genpact
Analytics & KPO
82.3k+
employees
1997
29 years old
New York, New York
United States (USA)
About
Global leader in digital transformation, combining AI and analytics to drive growth. With $4.7 billion in 2024 revenue, it empowers businesses across industries to innovate and thrive.
Industries
Analytics & KPOFinancial ServicesEdTech
Employee ratings
42,300 reviews
3.6/ 5
Culture
3.5
Career growth
2.9
Work-life
3.6
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