Index Data Operations Associate

Your Team Responsibilities:

MSCI Index Data Operations (IDO) provides high-quality, differentiated, and scalable equity and multi-asset data solutions that power MSCI’s flagship products including Equity Indexes, Risk Models, ESG Ratings, and Analytics offerings.

The Vice President – Index Data Operations Projects & AI Transformation will play a strategic leadership role in driving end-to-end data product development, operational transformation, and AI-enabled innovation across Index Data Operations. This role requires a unique blend of deep content expertise in index and market data domains, strong technology and program management capabilities, and the ability to lead large-scale cross-functional initiatives. The ideal candidate will act as both a business/content expert and a technology-driven transformation leader, leveraging modern data engineering practices, AI-assisted workflows, analytics, and automation frameworks to enhance scalability, quality, and operational efficiency across the index data ecosystem. This role demands strong leadership in managing global stakeholders, driving strategic execution, enabling innovation, and ensuring robust governance and data integrity standards.

Your Key Responsibilities:

Strategic Project Leadership

Lead end-to-end delivery of new Index data products and operational capabilities from concept to production.

Serve as a subject matter expert across Index Input Data domains including:

Universe Management

Shares & Free Float

Corporate Actions

Dividends

Define scalable operating models and data governance standards for index data management.

Partner with Product, Research, Technology, Analytics, and Operations teams to drive strategic product initiatives.

AI & Digital Transformation Leadership

Drive adoption of AI-enabled solutions and intelligent automation across Index Data Operations.

Leverage AI-assisted analysis, anomaly detection, reconciliation, workflow optimization, and quality control frameworks with strong human oversight and governance.

Identify opportunities to apply:

Generative AI

Machine Learning

Predictive Analytics

Intelligent Workflow Automation

NLP-driven data validation and insights generation

Partner with technology and engineering teams to modernize operational platforms and data pipelines.

Champion a data-driven and innovation-focused culture across the organization.

Data Analysis, Governance & Quality Management

Analyze and interpret complex financial and index datasets to identify trends, exceptions, risks, and actionable insights.

Ensure accuracy, completeness, timeliness, and integrity of Index Input Data throughout the product lifecycle.

Establish robust validation frameworks, control mechanisms, and operational governance standards.

Collaborate closely with external data vendors and internal stakeholders to ensure seamless data ingestion and quality assurance.

Proactively identify process optimization opportunities and implement scalable operational improvements.

Project & Stakeholder Management

Lead large-scale strategic programs and cross-functional initiatives across global teams.

Onboarding of new vendors along end to end workflow management

Develop and manage project roadmaps, execution plans, timelines, risk frameworks, and governance structures.

Coordinate with senior leadership, Product teams, Technology, Data vendors, and external stakeholders.

Facilitate executive-level reporting, governance reviews, and strategic decision-making forums.

Effectively manage competing priorities and multiple concurrent projects in a fast-paced environment.

Risk Management, Reporting & Documentation

Establish strong project governance and risk management practices to minimize operational and delivery risks.

Prepare executive dashboards, status reports, and strategic presentations for senior leadership.

Ensure comprehensive documentation of workflows, operational procedures, decisions, and transformation initiatives.

Drive continuous improvement in reporting frameworks, operational KPIs, and performance metrics.

Your skills and experience that will help you excel:

Required Qualifications & Experience

Master’s degree in Finance, Economics, Mathematics, Statistics, Engineering, Computer Science, or related disciplines.

Preferred qualifications include MBA, CFA, FRM, CA, MMS, or equivalent.

10+ years of relevant experience in:

Financial Services

Capital Markets

Index/Data Operations

Analytics & Transformation Programs

Proven leadership experience in managing complex enterprise-wide programs and strategic data initiatives.

Strong understanding of Index and Market Data ecosystems.

Hands-on experience in:

Python Programming

Data Analytics & Automation

AI/ML-enabled operational solutions

Data Visualization tools such as Power BI/Tableau

Experience working with modern data platforms, APIs, automation tools, and workflow orchestration frameworks is preferred.

PMP, Agile, Scrum, or similar project/program management certifications are a plus.

Preferred Leadership Attributes

Strong strategic thinking and execution capabilities.

Excellent communication, stakeholder management, and influencing skills.

Ability to bridge business, content, operations, and technology teams effectively.

Strong analytical mindset with attention to detail and operational excellence.

Passion for innovation, AI transformation, and continuous improvement.

Ability to lead and inspire high-performing global teams.

Inquisitive mindset with willingness to challenge the status quo and drive change.

Key Skills

Index & Financial Data Expertise

AI & Digital Transformation

Data Analytics & Interpretation

Program & Project Management

Stakeholder Management

Data Governance & Controls

Python & Automation

Process Optimization

Reporting & Executive Communication

Technical Problem Solving

Risk Management

Leadership & Team Management

AI & Innovation Mindset

The ideal candidate should be comfortable leveraging AI-enabled tools and modern analytics platforms to improve research, operational efficiency, decision-making, and data quality while maintaining strong governance, validation, and human oversight standards.

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.

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