Senior Technical Lead

Technology, Data & Digital · Data, AI & Analytics · Data Analysis · Data Engineering · Business Intelligence

In short

The Data Management Analyst, Data & Insights - Data Governance role in Bangalore bridges technical and business needs, focusing on data governance policies, standards, and operational practices. This position ensures data is trusted, well-defined, secure, and fit for use, supporting data ownership, quality, metadata, lineage, and master data management.

Responsibilities

Support the implementation and continuous improvement of the data governance framework, including roles, responsibilities, decision rights, standards, policies, issue management, and governance routines.
Perform data profiling, assessment, monitoring, and remediation activities to improve data accuracy, completeness, consistency, timeliness, and fitness for use.
Maintain business definitions, data element standards, ownership, critical data element documentation, and lineage information.
Support the governance of core business data domains by helping define master and reference data standards, data ownership, matching and survivorship rules, quality controls, and change processes.
Help ensure data practices align with internal policies, regulatory requirements, privacy obligations, and control expectations.
Support governance practices for AI agents and AI-enabled workflows.
Partner with data architects, engineers, and platform teams to align governance requirements with data models, integration patterns, and solution designs.
Develop dashboards, scorecards, and management reports that track governance adoption, data quality performance, metadata coverage, stewardship engagement, and remediation status.
Act as a governance subject matter resource by providing guidance, training, and facilitation to data stewards and business partners.
Track industry practices, governance maturity, and emerging data management needs, including AI-ready data practices where relevant.

Requirements

Proven experience in data governance, data management, data analysis or related roles within medium to large organizations.
Strong understanding of core data governance concepts, including data ownership and stewardship, policy and standards management, issue management, data controls, and governance operating models.
Hands-on experience with data quality management, including profiling, rule definition, monitoring, remediation, and metric development.
Hands-on experience with metadata management, business glossary development, data cataloging, and data lineage documentation.
Hands-on experience master data management concepts and practices, including master and reference data, domain ownership, data standards, matching and survivorship, and lifecycle controls.
Experience supporting AI governance practices that align with enterprise governance, privacy, security, and compliance requirements.
Proficiency in data analysis tools (e.g. SQL, Python) and reporting/BI platforms (e.g., Power BI).
Proficiency with data governance tools, data catalogs, metadata repositories, and related workflow platforms (e.g., Collibra, Profisee).
Solid understanding of data modeling, integration, and data architecture concepts relevant to governed data products and enterprise data assets.
Knowledge of relevant regulatory, privacy, risk, and control requirements affecting enterprise data.
Strong analytical, problem-solving, facilitation, documentation, and stakeholder engagement skills.
Ability to work independently and collaboratively to drive cross-functional governance initiatives and deliver high-quality outcomes.

Desired Qualifications

Data quality management, master data management, metadata management experience across various data types; experience with data catalog and data governance tools such as Collibra, Profisee, Databricks
Experience with AI governance and understanding of responsible AI and integrated governance between data and AI use cases

Benefits

Supercharge your potential at HCLTech.
Find your career at HCLTech.
Find your spark at HCLTech.
A place that knows that helping its customers stay on top starts by putting its people first.

Skills

SQLPythonPower BICollibraProfiseeDatabricks

#Data Management#Data Governance#Data Quality#Metadata Management#Master Data Management#AI Governance

About HCLTech

Supercharging progress through technology and innovation

HCLTech is a global technology company, home to 219,000+ people across 54 countries, delivering industry-leading capabilities centered around digital, engineering and cloud, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending September 2022 totaled $12.1 billion. To learn how we can supercharge progress for…

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