Hophr28d ago

Lead Data Modeler

MonterreyFull- Timelead

Data ModelerData & AI

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Quick Summary

Overview

As a leading global financial information services provider, our client delivers vital credit and risk insights, robust data, and dynamic tools to champion more efficient,

Technical Tools

Data ModelerData & AI

As a leading global financial information services provider, our client delivers vital credit and risk insights, robust data, and dynamic tools to champion more efficient, transparent financial markets. With over 100 years of experience and colleagues in over 30 countries, our client’s culture of credibility, independence, and transparency is embedded throughout its structure, which includes our client Ratings, one of the world’s top three credit ratings agencies, and our client Solutions, a leading provider of insights, data, and analytics. With dual headquarters in London and New York, our client is owned by Hearst.

Our client's Technology & Data Team is a dynamic department where innovation meets impact. Our team includes the Chief Data Office, Chief Software Office, Chief Technology Office, Emerging Technology, Shared Technology Services, Technology, Risk, and the Executive Program Management Office (EPMO). Driven by our investment in cutting-edge technologies like AI and cloud solutions, we’re home to a diverse range of roles and backgrounds united by a shared passion for leveraging modern technology to drive projects that matter to our organization and clients. We are also proud to be recognized by Built In as a “Best Place to Work in Technology” 3 years in a row. Whether you're an experienced professional or just starting your career, we offer an exciting and supportive environment where you can grow, innovate, and make a difference.

Hands-on Lead and Mentor a team of data modelers, fostering strong modeling discipline, domain mastery, and consistency while delivering enterprise-grade conceptual, logical, and physical data models.

Partner with the CDO organization, data product leaders, and engineering teams to define and operationalize enterprise canonical models that support analytics, AI, APIs, and operational use cases.

Define and govern enterprise data modeling standards (conceptual, logical, physical, dimensional) to ensure semantic consistency across data platforms, products, and domains.

Drive core data design decisions including entity definitions, relationships, hierarchies, Slowly Changing Dimensions (SCDs), reference data, and master data alignment.

Enable AI- and analytics-ready data by ensuring models are well-governed, discoverable, and enriched with metadata, quality rules, and lineage.

Ensure data quality, usability, and scalability by proactively identifying modeling gaps, resolving semantic inconsistencies, and preventing downstream data defects.

Act as a bridge between business and technology, translating complex business domain concepts into clear, scalable data structures used across the enterprise.

7–10 years of hands-on experience in enterprise data modeling, ideally within financial services or highly regulated environments.

Proven experience designing:

Conceptual, logical, and physical data models.

Dimensional models (Star/Snowflake), ODS, and canonical domain models.

Master data, reference data, and hierarchy structures.

Deep understanding of Master Data Management (MDM) concepts and platforms (e.g., Informatica MDM – Customer 360, Business 360, Reference 360).

Strong experience working with data lakehouse and analytical platforms (AWS, Snowflake, Databricks, Redshift) and aligning models across operational and analytical systems.

Expertise with data governance and metadata tools (e.g., Collibra, Alation) including business glossary alignment, data lineage, and stewardship workflows.

Ability to model for multiple consumption patterns: analytics, APIs, operational systems, and AI/ML use cases.

Solid SQL skills and hands-on experience validating models with real data.

Strong understanding of data quality dimensions, constraints, validation rules, and impact analysis.

Experience collaborating closely with:

Data engineers.

Analytics engineers.

Product owners.

Architects and business stakeholders.

Ability to evaluate and guide “build vs. buy” decisions related to modeling tools, MDM, and governance platforms.

Experience designing AI- and feature-ready data models optimized for ML training, embeddings, graph use cases, or retrieval-augmented generation (RAG).

Hands-on experience integrating data modeling with MDM, data quality rules, and semantic layers for self-service analytics.

Strong understanding of event-driven and API-driven data models, including versioning and backward compatibility.

Experience working within data mesh or domain-oriented data ownership models.

Ability to influence without authority and drive enterprise-wide adoption of modeling standards.

Excellent communication skills with a proven ability to:

Explain complex data structures to non-technical stakeholders.

Align multiple teams around shared definitions and semantics.

Demonstrated track record of continuous improvement in model quality, reuse, and business alignment.

Work-Life Balance First: 40% in-office monthly stay connected while keeping flexibility.

A Culture of Learning & Mobility: Dedicated trainings, leadership development and mentorship programs designed to ensure that your time at Fitch will be a continuous learning opportunity.

Investing in Your Future: Retirement planning and tuition reimbursement programs that empower you to achieve your short and long-term goals.

Promoting Health & Wellbeing: Comprehensive healthcare offerings that enable physical, mental, financial, social, and occupational wellbeing.

Supportive Parenting Policies: Family-friendly policies, including a generous global parental leave plan, designed to help you balance career and family life effectively.

Inclusive Work Environment: A collaborative workplace where all voices are valued, with Employee Resource Groups that unite and empower our colleagues around the globe.

Dedication to Giving Back: Paid volunteer days, matched funding for donations and ample opportunities to volunteer in your community.

Our client is committed to providing global securities markets with objective, timely, independent, and forward-looking credit opinions. To protect our client’s credibility and reputation, our employees must take every precaution to avoid conflicts of interest or any appearance of a conflict of interest. Should you be successful in the recruitment process at our client Ratings, you will be asked to declare any securities holdings and other potential conflicts prior to commencing employment. If you, or your immediate family, have any holdings that may conflict with your work responsibilities, you may be asked to divest yourself of them before beginning work.

Our client is proud to be an Equal Opportunity and Affirmative Action Employer. We evaluatequalified applicants without regard to race, color, national origin, religion, sex, sexual orientation, gender identity, disability, protected veteran status, and other statuses protected by law.

Location & Eligibility

Where is the job

Monterrey

Hybrid — some on-site time required

Who can apply

Same as job location

Listed under

Worldwide

Listing Details

Posted: April 2, 2026
First seen: April 21, 2026
Last seen: May 1, 2026

Posting Health

Days active: 10
Repost count: 0
Trust Level: 33%
Scored at: May 1, 2026

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HopHR specializes in connecting businesses with high-caliber AI and Machine Learning talent, leveraging a rigorous vetting process to ensure top-quality placements.

Employees

125

Founded

2016

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