Technical Project Manager - Data & Engineering Transformation

MSCI • Norman, OK

1d

About The Position

We are seeking a Senior Technical Project Manager to manage the end-to-end transformation of our data supply chain and engineering platforms into a modern, cloud-native, AI-enabled data stack. This role will be responsible for driving large-scale, multi-year initiatives that replace legacy data pipelines, evaluate and onboard new data sources, modernize data engineering practices, and enable advanced AI-enabled production across the firm.
The ideal candidate is deeply technical, comfortable operating at executive altitude, and proven at delivering complex data and platform transformations in regulated, data-intensive environments such as financial information services.

Requirements

• 10+ years of experience in technical program or project management, with significant experience leading data platform or data engineering transformations.
• Demonstrated success delivering large-scale, cloud-based data initiatives in financial information services, fintech, or other regulated, data-intensive industries.
• Strong understanding of modern data architectures, including cloud platforms (AWS, Azure, or GCP), data lakes/lakehouses, ETL/ELT, and orchestration tools.
• Proven ability to manage complex dependencies across engineering, data, security, legal, and compliance teams.
• Experience working closely with data engineers, platform engineers, content subject matter experts, and data scientists.
• Cloud-native data platforms and modern data stacks
• Data engineering concepts (pipelines, schemas, lineage, quality, observability)
• AI/ML data enablement and analytics readiness
• Systems integration and legacy modernization
• Market data or financial information expertise
• Large-scale program planning and execution
• Risk, dependency, and stakeholder management
• Executive-level communication and influence
• Agile and hybrid delivery methodologies
• Highly structured, outcome-driven, and comfortable with ambiguity
• Strong technical curiosity and ability to challenge design decisions constructively
• Calm and decisive under pressure in complex delivery environments
• Bias toward action while maintaining rigor and quality

Nice To Haves

• Bachelor’s degree in Finance, Economics, Computer Science, Engineering or related field (or equivalent experience). Advanced degree is a plus.

Responsibilities

• Own and drive the delivery of a comprehensive modernization program covering data evaluation, ingestion, processing, storage, and consumption on a cloud-native stack.
• Lead the transition from legacy and on-prem data systems to modern architectures (e.g., cloud data lakes/lakehouses, modern orchestration).
• Partner with data engineering, platform engineering, operations, security, and AI teams to define and execute the transformation roadmap.
• Plan and manage a large, cross-functional program with multiple interdependent workstreams, vendors, and stakeholders.
• Establish clear milestones, success metrics, risk management plans, and dependency tracking across data supply, engineering, and downstream consumers.
• Lead programs to identify, onboard, and operationalize new data sources at scale.
• Coordinate the data engineering works from design to execution as well as new content evaluation, testing, and implementation.
• Ensure data platform build supports future AI, analytics, and product innovation.
• Ensure the modern data stack is designed to support AI and other deterministically automated use cases.
• Partner with data operations and AI teams to remove data bottlenecks, improve feature availability, and enable faster experimentation and production deployment.
• Drive alignment between platform capabilities and evolving AI strategies.
• Act as a trusted partner to senior engineering leaders, data leaders, product managers, and executive stakeholders.
• Translate complex technical work into clear business outcomes, trade-offs, and investment decisions.
• Provide transparent communication on progress, risks, and delivery outcomes.
• Embed strong data quality, observability, lineage, security, and governance practices into delivery plans.
• Ensure solutions meet regulatory, audit, and operational resilience requirements expected of a financial data firm.
• Drive continuous improvement in delivery efficiency, reliability, and scalability.

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level