Director, Data Quality and AI Operations

Tata Consultancy Services; Ireland; On-site; EUR 150,000 - 210,000; Full time

Benefits offered by this job

Pension

Health care

Life assurance

Laptop

Training resources

Discounts within Tata network

London Marathon sponsorship

Health & wellness initiatives

Sports events

Job summary

Tata Consultancy Services UK&I in Ireland seeks a Director, Data Quality and AI Operations to lead assurance across data products and AI initiatives in a regulated financial services context. You will drive control testing, evidence review, dashboarding and remediation, partnering with risk, legal, compliance and product teams.

You will guide governance across enterprise data standards and AI lifecycle activities, scaling integrated capabilities and delivering audit-ready documentation to

Qualifications

• Significant experience in data quality and governance within a regulated org.
• Strong knowledge of AI governance, risk management and controls.
• Experience turning policies into testing routines and playbooks.
• Hands-on with dashboards and data observability tools.
• Excellent stakeholder collaboration across global teams.

Responsibilities

• Lead assurance execution for data quality and responsible AI controls.
• Translate policy requirements into practical assurance procedures.
• Define data quality assessment routines across data products and AI solutions.
• Support AI lifecycle assurance checkpoints and monitoring.
• Review evidence and manage remediation plans with stakeholders.
• Develop dashboards, scorecards and enterprise AI inventory views.
• Coordinate issue triage, severity, root cause and SLA monitoring.
• Embed assurance practices into delivery workflows with cross-functional teams.
• Scale capabilities and develop reusable playbooks for governance.

Skills

Data quality

Data governance

AI governance

Model risk

Audit & compliance

Analytics

Data engineering

Risk-based oversight

Stakeholder management

Education

Bachelor’s degree in Computer Science or related field

Advanced degree preferred

Tools

Power BI

Tableau

Grafana

Streamlit

Dash

Ataccama

Collibra

Informatica

Denodo

ServiceNow

Jira

Job description

Job Type: Permanent

Careers at TCS: It means more

TCS is a purpose-led transformation company, built on belief. We do not just help businesses to transform through technology. We support them in making a meaningful difference to the people and communities they serve - our clients include some of the biggest brands in the UK and worldwide. For you, it means more to make an impact that matters, through challenging projects which demand ambitious innovation and thought leadership.

• Lead enterprise Data Quality and Responsible AI assurance execution across data and AI products.
• Build scalable control testing, monitoring, evidence, dashboarding and remediation practices.
• Partner across business, technology and control functions to strengthen trust in enterprise data and support the safe use of AI.

The Role

As Director, Data Quality and AI Operations, you will be part of Chief Data and AI Office of a leading client organisation and the Financial Services space, supporting the enterprise operating model that enables trusted data and responsible use of AI across the organization. This role sits within the Data Quality and Responsible AI Assurance function and partners closely with business, technology, risk, legal, compliance, model risk, information security, data governance and platform teams. You will provide execution leadership for Data Quality and AI Assurance activities, including control testing outcomes, evidence review, dashboarding, issue triage, remediation tracking and continuous monitoring, helping translate enterprise data and AI standards into measurable assurance routines.

Your responsibilities:

• Lead assurance execution for Data Quality and Responsible AI controls across prioritized data products, AI products, models, all AI solutions and enterprise assurance capabilities.
• Translate data and AI policy requirements into practical assurance procedures, test scripts, control checks, documentation standards and evidence expectations.
• Define and execute data quality assessment routines, including profiling, completeness, accuracy, timeliness, consistency, validity, lineage, metadata quality and fit-for-use reviews.
• Support Responsible AI assurance checkpoints across the AI lifecycle, including intake, risk tiering, pre-deployment review, production monitoring, periodic review and change governance.
• Review AI and data product evidence for adherence to standards, including approved data source usage, documented controls, explainability artifacts, monitoring thresholds, exception handling and remediation plans.
• Develop and maintain dashboards, scorecards, KPI/KRI reporting and enterprise AI inventory views covering AI solution ownership, risk tiering, lifecycle status, control coverage, exceptions and remediation progress.
• Coordinate issue triage, severity assessment, root cause documentation, remediation tracking, SLA monitoring and closure evidence for Data Quality and Responsible AI findings.
• Partner with product owners, data domain teams, technology, MLOps, DataOps, model risk, legal, compliance, privacy, information security and audit stakeholders to embed assurance practices into delivery workflows.
• Support pilots and scale-out of integrated Data Quality and AI assurance capabilities, including executable rules, monitoring routines, exception management workflows and reusable playbooks.
• Prepare governance materials, management reporting and audit-ready documentation for working groups, leadership forums, control partners and senior stakeholders.
• Identify opportunities to automate control testing, evidence capture, monitoring alerts, dashboarding and policy-to-rule translation across enterprise platforms and tooling.
• Provide day-to-day leadership, coaching and quality review for analysts, specialists or execution partners supporting Data Quality and AI assurance activities in India and globally.

Your Profile:

Essential skills/knowledge/experience:

• Significant experience in data quality, data governance, AI governance, model risk, technology risk, audit, compliance, analytics, data engineering or related disciplines, with a focus on risk-based oversight in a large global or regulated organization.
• Strong understanding of risk-based data quality management, including critical data element prioritization, rules, thresholds, controls, monitoring, issue management, remediation, lineage, metadata and fit-for-use assessment.
• Working knowledge of Responsible AI risk concepts, including risk tiering, fairness, explainability, transparency, robustness, privacy, human oversight, model monitoring, drift, bias indicators and lifecycle governance.
• Experience designing or executing assurance, control testing, evidence review, audit readiness or quality review processes that apply effort based on risk, materiality, regulatory exposure and business impact.
• Ability to translate policies, standards and control requirements into risk-based procedures, testing routines, reporting requirements, escalation criteria and operational playbooks.
• Hands-on experience with reporting and dashboarding tools such as Power BI, Tableau, Grafana, Streamlit, Dash or similar platforms.
• Familiarity with data governance, data quality, metadata, catalog, observability, ModelOps or workflow tools such as Ataccama, Collibra, Informatica, Denodo, ServiceNow, Jira or similar platforms.
• Excellent documentation and communication skills, with the ability to produce clear governance materials, executive-ready summaries, testing evidence and issue narratives.
• Strong stakeholder management and collaboration skills to align business, technology, risk, compliance, legal, audit and global delivery teams on risk-based decisions, ownership and remediation priorities.
• Demonstrated ability to lead execution in a matrixed environment, manage competing priorities and drive outcomes with discipline, accountability and attention to detail.
• Bachelor’s degree in Computer Science, Data Science, Information Systems, Engineering, Statistics, Mathematics, Business Analytics or a related field; advanced degree preferred.
• Experience in financial services, insurance, asset management, banking or another highly regulated industry.
• Experience supporting global teams, including coordination across U.S. and India time zones.
• Familiarity with NIST frameworks and standards, including the NIST AI Risk Management Framework and NIST Cybersecurity Framework, as well as ISO/IEC AI management standards, DAMA-DMBOK, DCAM or similar data, AI and technology risk governance frameworks.
• Exposure to AI/ML development, MLOps, all AI solutions, large language models, retrieval-augmented generation, model validation or model monitoring practices.
• Experience with SQL, Python, R, data profiling, data observability, automated testing or analytics engineering practices.
• Certifications such as CDMP, DGSP, CISA, CRISC, ISO, cloud data certifications, AI governance credentials or relevant risk and compliance certifications.

TCS is consistently voted a Top Employer in the UK and globally. Our competitive salary packages feature pension, health care, life assurance, laptop and access to extensive training resources and discounts within the larger Tata network.

We offer health & wellness initiatives and sports events; we are the proud sponsor of the London Marathon and partner with our local communities in Ireland.

Diversity, Inclusion and Wellbeing

Tata Consultancy Services UK&I is committed to meeting the accessibility needs of all individuals in accordance with the Ireland Employment Equality Acts 1998-2011 (as amended) and the Equal Status Acts 2000-2012 (as amended).

We welcome and embrace diversity in race, nationality, ethnicity, disability, neurodiversity, gender identity, age, physical ability, gender reassignment, sexual orientation. We are a disability inclusive employer and encourage disabled people to apply for this role.

Due to the high volume of applications, we will be unable to contact each applicant individually on the status of their application. If you have not received a direct response within 30 days, then it should be deemed unsuccessful on this occasion.