Inclusion without Exception
Tata Consultancy Services (TCS) is an equal opportunity employer, and embraces diversity in race, nationality, ethnicity, gender, age, physical ability, neurodiversity, and sexual orientation, to create a workforce that reflects the societies we operate in. Our continued commitment to Culture and Diversity is reflected in our people stories across our workforce and implemented through equitable workplace policies and processes.
Tata Consultancy Services (BSE: 532540, NSE: TCS) is the technology partner of choice for industry-leading organizations worldwide. Since its inception in 1968, TCS has upheld the highest standards of innovation, engineering excellence and customer service.
It has set an aspiration to become the world's largest AI-led technology services company and is enabling its clients to transform themselves across the full AI stack, from infrastructure to intelligence.
Rooted in the heritage of the Tata Group, TCS is focused on creating long term value for its clients, its investors, its employees, and the community at large. With a highly skilled workforce spread across 56 countries and 194 service delivery centers across the world, the company has been recognized as a top employer in six continents. With the ability to rapidly apply and scale new technologies, the company has built long term partnerships with its clients. Many of these relationships have endured into decades and navigated every technology cycle, from mainframes in the 1970s to artificial intelligence today.
Role Description
- years of experience in enterprise data management, with strong expertise across Data Governance, Data Quality, Metadata, Data Lineage and Data Observability.
- Proven experience defining and implementing enterprise Data Governance operating models, policies, standards, controls, stewardship structures, decision rights and governance forums.
- Strong hands-on knowledge of business and technical metadata, data catalog, glossary, classification, ownership, critical data elements and end-to-end lineage.
- Deep understanding of Data Quality frameworks, including profiling, rule design, controls, scorecards, issue management, root-cause analysis, remediation and continuous monitoring.
- Experience establishing Data Observability capabilities spanning freshness, volume, schema, distribution, pipeline health, anomalies, incidents, service levels and operational dashboards.
- Ability to integrate governance, quality, lineage and observability controls across cloud, lakehouse, data warehouse, data integration and analytics ecosystems.
- Experience with one or more enterprise platforms such as Collibra, Informatica CDGC/Axon/EDC/IDQ, Microsoft Purview, Alation, Atlan, BigID, Monte Carlo, Bigeye, Databricks Unity Catalog or comparable tools.
- Strong knowledge of data architecture, data modeling, ETL/ELT, APIs, batch/streaming pipelines, SQL and cloud data platforms such as Azure, AWS, Databricks or Snowflake.
- Experience defining governance and quality KPIs/KRIs, control evidence, data issue workflows, auditability and executive reporting.
- Good understanding of privacy, security, retention, regulatory and risk-management expectations relevant to financial services, including BCBS 239, GDPR/CCPA and data-control principles.
- Proven experience leading discovery workshops, current-state assessments, target-state design, roadmaps, tool evaluations, implementation planning and adoption/change initiatives.
- Strong consulting, stakeholder-management and communication skills, with the ability to engage business, risk, compliance, data, engineering and executive stakeholders.
- Preferred certifications in DAMA/CDMP, DCAM, Collibra, Informatica, Microsoft Purview, cloud data platforms, data quality or related disciplines.
Roles & Responsibilities
- Lead the design and implementation of an integrated Data Governance, Data Quality, Data Lineage and Data Observability capability for enterprise data platforms.
- Translate business, regulatory, risk and technology needs into pragmatic governance policies, standards, controls, processes and implementation roadmaps.
- Define the operating model, including accountable data owners, business and technical stewards, governance councils, RACI, escalation paths and decision rights.
- Establish enterprise metadata, business glossary, data catalog, classification, critical data element and ownership practices.
- Design Data Quality lifecycle processes covering profiling, rule definition, thresholds, monitoring, scorecards, issue triage, root-cause analysis and remediation governance.
- Define and operationalize end-to-end lineage from source through transformations to reports, analytics, regulatory outputs and AI use cases.
- Establish observability monitoring for data freshness, completeness, volume, schema, distribution, pipeline reliability, anomalies and data incidents; align alerts with support and remediation workflows.
- Develop control frameworks, KPIs/KRIs, dashboards and executive reporting to demonstrate data health, control effectiveness, risk reduction and adoption.
- Evaluate and configure governance tooling; define integration patterns with data platforms, ETL/ELT, BI, ticketing, CI/CD and cloud services.
- Partner with data architecture, engineering, platform, security, privacy, risk and business teams to embed governance controls within delivery lifecycle and DataOps practices.
- Lead workshops, architecture/design reviews, backlog prioritization, implementation governance, testing, release readiness and production adoption.
- Manage risks, dependencies and issues; provide clear recommendations and escalate decisions requiring senior stakeholder intervention.
- Mentor governance leads, data stewards, analysts and engineers; create reusable accelerators, templates, playbooks and knowledge assets.
- Support solutioning, proposals, effort estimation, client presentations and capability development for Data Governance and Data Management opportunities.
Generic Managerial Skills,
- Strong leadership and stakeholder-management skills across business, technology, risk, compliance and data organizations.
- Excellent written, verbal and presentation skills for technical, business and executive audiences.
- Consultative problem-solving approach with the ability to simplify complex governance and technology topics.
- Experience leading cross-functional and geographically distributed teams and driving outcomes without direct authority.
- Strong planning, prioritization, facilitation, negotiation, risk management and decision-making skills.
- High ownership, accountability and attention to detail, with a focus on measurable adoption & sustainable operating practices.
- Ability to mentor practitioners, influence senior stakeholders and establish an active data stewardship community.
Salary Range - CA$ 100,000 - CA$ 120,000 Per annum
TCS does not use artificial intelligence tools for candidate screening or evaluation. This post is for a current vacancy. The hiring process includes an initial screening, followed by a technical evaluation and managerial discussion.
Tata Consultancy Services Canada Inc. is committed to meeting the accessibility needs of all individuals in accordance with the Accessibility for Ontarians with Disabilities Act (AODA) and the Ontario Human Rights Code (OHRC). Should you require accommodation during the recruitment and selection process, please inform Human Resources.
Thank you for your interest in TCS. Candidates that meet the qualifications for this position will be contacted within a 2-week period. We invite you to continue to apply for other opportunities that match your profile.
