Manager, Data Engineering and Analytics

As a Manager, Data Engineering and Analytics within GFT's HR Information Technology, you'll be the technical driver delivering foundational data infrastructure and automated solutions that power incentive compensation and HR analytics. Working closely with HR partners, solution architects, and development teams, you'll translate operational requirements into robust data pipelines, data models, and automated workflows moving beyond analysis into building scalable data solutions. You'll combine business acumen with hands-on engineering to design and implement the data layer that enables AI/ML initiatives, advanced analytics, and data-driven decision-making.

This role requires strong technical leadership, business understanding, and the ability to deliver data solutions that directly enable business outcomes.

Lead End-to-End Business & Systems Analysis for data engineering and AI-driven projects conduct requirements gathering, gap analysis, process mapping, and develop functional specifications that translate operational problems into data solutions

Design & Validate Foundational Data Layers – Partner with engineers to define data architecture, design data models, ensure data quality, map data lineage, and validate that data pipelines feed accurate, trustworthy information to ML models and analytics platforms

Build & Optimize Data Pipelines – Write SQL, design ETL/ELT workflows, and implement automated data pipelines to consolidate siloed data, replace manual processing, reduce errors, and improve efficiency across compensation and HR systems

Query & Analyze Data Independently – Write production-quality SQL to explore data from multiple sources, profile data quality, identify integration needs, and validate data integrity across complex systems

Support AI/ML Solution Development – Translate business rules and operational logic into structured data requirements, validate model outputs for accuracy and reliability, and ensure data solutions reflect business intent and governance standards

Design Automated Data Processing Workflows – Architect and implement automated solutions to replace manual processing, enable real-time analytics, and support scalable reporting across multiple data sources

Bridge Business & Technical Teams – Serve as connective tissue between operational stakeholders, business teams, and engineering—translating process knowledge into technical specifications and communicating progress to non-technical audiences

Document Data Infrastructure & Governance – Produce clear technical documentation (incl. data dictionaries, process flows, system maps, business rules, data lineage) that provides institutional memory and supports governance as the data platform scales

Identify Process & Efficiency Opportunities – Continuously analyze business processes to identify automation opportunities and recommend data-driven improvements that leverage analytics and AI capabilities

Experience with advanced data and analytics platforms (Databricks, Hadoop, MongoDB, Snowflake, BigQuery, Redshift)

Financial services or regulated operational environment exposure and experience with enterprise HR/compensation systems (Workday, SAP S4/HANA, SAP SuccessFactors)

Greenfield or platform-building project experience with Agile Scrum delivery

Data engineering or analytics certifications (AWS Data Engineer, Google Cloud Data Engineer, or equivalent)

We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable

Leaders who support your development through coaching and managing opportunities

Ability to make a difference and lasting impact

Work in a dynamic, collaborative, progressive, and high-performing team

A world-class training program in financial services

Flexible work/life balance options

Opportunities to do challenging work

Opportunities to take on progressively greater accountabilities

Opportunities to building close relationships with clients

Access to a variety of job opportunities across business and geographies

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