TP, a global leader in human+AI business services, is building data products that power its operations, its clients’ services and its AI ambitions. As Domain Steward you will be accountable for the data of one of TP’s business areas, such as workforce, operations and performance, or clients: what each term and KPI means, the quality rules it must meet and whether it can be trusted before it is used. You will run the quality checks and issue resolutions for your area, approve its data before it reaches the data products and lead a network of stewards in the countries. You will work with the business owners, the data product teams, Legal, Privacy and InfoSec, so that good governance helps products ship faster rather than slowing them down. It is a rare chance to make data trustworthy across the company, at global scale and with direct visibility to TP’s leadership.
The Responsibilities & Duties
Success in this role requires business credibility and a sharp sense of data quality. Your primary responsibilities will include:
Shaping the domain’s data
Business Terms & KPIs: Define the business terms and the meaning of each KPI for the domain in a shared glossary, with the business owner’s sign-off.
Quality Rules & Classification: Define quality rules, classification and access requirements for the domain’s critical data elements.
Trusted Sources: Identify the trusted sources and critical data the domain depends on, working with the Data Manager (MDM) on shared master data.
Leading stewardship in the countries
Regional Stewards: Guide the stewards in each TP country on standards and rules, and bring local variants into one global definition.
Quality Sign-off: Approve each country’s or client’s data before it enters TP’s data products, following the sign-off process set by the Governance Lead, based on rule results and agreed thresholds.
Policy Application: Apply access, classification and retention policies day to day, and raise exceptions to the Governance Lead.
Running quality and issues
Quality Monitoring: Track the domain’s quality metrics in a scorecard and report trends to the business owner.
Issue Management: Run the issue log, route problems to their owners and drive root-cause analysis until fixes are made at source.
Data Literacy: Keep catalog entries and lineage up to date, and promote good data practice among the TP people who produce and use the data.
The First-Year Objectives
Define the Critical Data Elements: Agree and document the critical data elements of your domain, starting with the core tables of the first data products.
Complete the Glossary: Cover the domain’s critical terms and KPIs with approved definitions.
Put Quality Rules Live: Run measurable quality rules on the critical elements, with targets and a monthly trend.
Sign Off Wave by Wave: Approve the first countries’ or clients’ data before it enters the data products, with a documented result; then onboard the next wave, and by the end of the year have the domain’s priority data approved.
Activate the Steward Network: Name the stewards in each country, agree their responsibilities and run the first escalation cycle.
Run the Issue Log: Operate the issue log with agreed resolution times, and report open issues and quality per country.
Requirements
The Qualifications
Domain Expertise
Education: Background in Business, Computer Science, Engineering, Data Analytics or Information Systems; DAMA CDMP (Associate or Practitioner) is an advantage.
Professional Background: 3+ years in data governance, data quality, data management or business analysis, with real knowledge of the domain (workforce, operations and performance, or client data).
Data Skills: SQL, Excel and Power BI to profile data and test rules; understanding of data quality dimensions (as in DAMA-DMBOK), metadata and lineage.
Governance Tools: Experience with a catalog or governance platform such as Collibra, Alation, Microsoft Purview or Unity Catalog.
Regulation: Working knowledge of GDPR and data classification principles.
AI Readiness: Understanding of why trusted, well-described data matters for AI, and familiarity with AI tools that help document data or suggest quality rules.
Proven Scale: Experience governing data across several countries or systems with different local definitions, working with Legal, Privacy and InfoSec.
Individual Skills
Influence: Able to hold business and regional teams accountable without direct authority.
Communication: Able to explain data issues in business language.
Attention to Detail: Strong eye for consistency across data, definitions and rules.
Languages: Fluent English; Spanish or Portuguese is an advantage.
Mindset & Behaviors
Protects the integrity of the data and explains the “why” behind each rule.
Sees governance as a way to help products ship faster, not as a brake.
Proactive and resilient when fixing issues across teams.
TP’s Core Skills
Process Excellence: Champions process excellence, continuously driving enhanced efficiency, effectiveness, and quality across the entire organization.
AI Proficiency: Champions the integration of AI concepts and technologies across the organization to enhance organizational efficiency and innovation.
Data Literacy: Promotes a culture of data-driven leadership throughout the organization and creates the necessary environment for people to leverage data for informed decision-making.
Collaboration: Inspires collaboration by leveraging shared ideas and resources to drive the organization toward achieving common goals.
Communication: Communicates complex and strategic information to diverse stakeholder groups using various channels.
Emotional Intelligence: Shapes a culture of empathy and trust, creating an environment where positive relationships amplify the impact of actions.
Open-Mindedness: Shapes an environment of open-mindedness that encourages diverse perspectives, ensuring all voices are heard and considered.
Critical Thinking: Evaluates complex information and arguments leveraging data and insights, promoting a culture of critical thinking throughout the organization.
Solution Orientation: Creates an environment in which people focus on finding practical and effective solutions and ensures that those are realized.
Entrepreneurship: Cultivates an entrepreneurial mindset that emphasizes creativity, calculated risk-taking, proactive problem-solving, and opportunity identification.
Benefits
Competitive Compensation: A highly competitive salary and performance-based bonus structure aligned with your experience and market standards.
Global Environment: The opportunity to work in a dynamic, international, and multicultural environment with cross-border teams and global projects.
Career Growth: Clear pathways for professional development, internal mobility, and long-term career progression within a rapidly growing global company.
Cutting-Edge Technology: Work with the latest tools, platforms, and AI-driven technologies in the industry.
Diversity, Equity & Inclusion
TP is home to a global family with various backgrounds and lifestyles. We will always embrace diversity and never discriminate against employees or applicants based on gender identity or expression, sexual orientation, race, religion, age, national origin, citizenship, disability, pregnancy status, veteran status, or other differences.
Analytics
Communication
English
Spanish
Portuguese
Bonus
Pay
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