Senior Associate, AI Data Operations at MSCI

Monterrey, Nuevo León, Mexico -

Full Time

Start Date

Immediate

Expiry Date

09 Aug, 26

Salary

0.0

Posted On

11 May, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI/ML Workflows, Data Operations, Document Processing, Model Supervision, Data Governance, Exception Management, Stakeholder Management, Root-Cause Analysis, Private Capital Data, Workflow Orchestration, Quality Assurance, Analytical Problem-Solving, Cross-functional Leadership, Technical Coaching, KPI Reporting, Cloud-based Data Environments

Industry

Financial Services

Description

Your Team Responsibilities The team is responsible for supporting MSCI’s Vantager Platform, enabling high-quality data ingestion, document processing, data extraction workflows, and the delivery of AI-enhanced data outputs to internal and external stakeholders. The team partners closely with Technology, Data Operations, Product, and Client Service to ensure that AI-driven processes are accurate, scalable, and aligned with business needs. We oversee data governance, exception handling, and the operationalization of AI models used across MSCI’s analytics and client platforms. Your Key Responsibilities Lead and oversee daily operations of the Vantager Platform, including document management, data extraction workflows, and end-to-end data delivery, ensuring SLA adherence and operational quality. Manage and optimize client setups and GP access configurations, serving as the primary escalation point for complex or high-priority client data needs. Own exception management for AI-driven data extraction, enrichment, and classification processes, including root-cause analysis and resolution of systemic issues. Drive the training, tuning, and evaluation of AI models, establishing quality benchmarks and ensuring outputs meet governance, transparency, and auditability standards. Develop and maintain operational controls and monitoring frameworks for AI-assisted processes, proactively identifying degradation in model performance. Contribute to data governance frameworks, ensuring evolving AI processes remain compliant with MSCI’s data standards and regulatory requirements. Act as a senior liaison to Technology, Product, Data Operations, and Client Service teams, leading joint workstreams to improve data pipelines, resolve platform issues, and deliver enhancements. Translate operational insights into actionable recommendations for product and technology teams, influencing platform roadmap decisions. Mentor and guide Associate-level team members, providing technical coaching, reviewing outputs, and supporting onboarding of new staff. Identify, scope, and lead operational improvement initiatives, including automation of manual workflows, reduction of exception rates, and scalability enhancements. Produce reporting and analytics on platform performance, operational KPIs, and AI model effectiveness for senior stakeholders. Serve as a subject matter expert on private capital data, document processing methodologies, and AI-assisted data workflows within the team and across the organization. Your skills and experience that will help you excel Bachelor’s degree in a relevant field (data science, computer science, finance, engineering, or similar). Minimum of 6 years of progressive experience in data operations, data management, document processing, or a related financial services role. Demonstrated expertise in AI/ML workflows, including model supervision, output validation, supervised training processes, and governance of AI-generated data. Strong analytical and problem-solving skills with a track record of leading exception resolution, driving process improvements, and making high-judgment decisions in ambiguous situations. Proven ability to lead cross-functional workstreams and manage stakeholder relationships across technology, product, and client-facing teams. Excellent written and verbal communication skills, including the ability to present complex operational and AI topics clearly to non-technical audiences. High attention to detail and a disciplined approach to data accuracy, auditability, and quality assurance in AI-assisted processes. Knowledge of private capital data, fund administration, or investment operations datasets. Experience with data pipeline tooling, workflow orchestration platforms, or cloud-based data environments. Familiarity with data governance frameworks, operational risk controls, or regulatory compliance requirements in financial services. Prior experience mentoring or managing junior team members in an operational or analytical setting. About MSCI What we offer you Transparent compensation schemes and comprehensive employee benefits, tailored to your location, ensuring your financial security, health, and overall wellbeing. Flexible working arrangements, advanced technology, and collaborative workspaces. A culture of high performance and innovation where we experiment with new ideas and take responsibility for achieving results. A global network of talented colleagues, who inspire, support, and share their expertise to innovate and deliver for our clients. Global Orientation program to kickstart your journey, followed by access to our Learning@MSCI platform, AI Learning Center , LinkedIn Learning Pro and tailored learning opportunities for ongoing skills development. Multi-directional career paths that offer professional growth and development through new challenges, internal mobility and expanded roles. We actively nurture an environment that builds a sense of inclusion belonging and connection, including eight Employee Resource Groups. All Abilities, Asian Support Network, Black Leadership Network, Climate Action Network, Hola! MSCI, Pride & Allies, Women in Tech, and Women’s Leadership Forum. At MSCI we are passionate about what we do, and we are inspired by our vision – to power better decisions. You’ll be part of an industry-leading network of creative, curious, and entrepreneurial pioneers. This is a space where you can challenge yourself, set new standards and perform beyond expectations for yourself, our clients, and our industry. MSCI strengthens global markets by connecting participants across the financial ecosystem with a common language. Our research-based data, analytics and indexes, supported by advanced technology, set standards for global investors and help our clients understand risks and opportunities so they can make better decisions and unlock innovation. We serve asset managers and owners, private-market sponsors and investors, hedge funds, wealth managers, banks, insurers and corporates. MSCI Inc. is an equal opportunity employer. It is the policy of the firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, gender, gender identity, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy (including unlawful discrimination on the basis of a legally protected parental leave), veteran status, or any other characteristic protected by law. MSCI is also committed to working with and providing reasonable accommodations to individuals with disabilities. If you are an individual with a disability and would like to request a reasonable accommodation for any part of the application process, please email Disability.Assistance@msci.com and indicate the specifics of the assistance needed. Please note, this e-mail is intended only for individuals who are requesting a reasonable workplace accommodation; it is not intended for other inquiries. To all recruitment agencies MSCI does not accept unsolicited CVs/Resumes. Please do not forward CVs/Resumes to any MSCI employee, location, or website. MSCI is not responsible for any fees related to unsolicited CVs/Resumes. Note on recruitment scams We are aware of recruitment scams where fraudsters impersonating MSCI personnel may try and elicit personal information from job seekers. Read our full note on careers.msci.com

Responsibilities

Lead daily operations of the Vantager Platform, focusing on AI-driven data extraction, document management, and end-to-end data delivery. Drive the training and evaluation of AI models while collaborating with cross-functional teams to optimize data pipelines and platform roadmaps.