Delivery Lead – Data Engineering & Data Platforms (FP&A Focus)

Position Overview

We are seeking an experienced Delivery Lead Data Engineering & Data Platforms with strong Financial Planning & Analysis (FP&A) domain expertise to lead the design, delivery, and modernization of enterprise data platforms. This is a hands-on leadership role requiring a blend of technical depth, delivery management, stakeholder engagement, and strategic data architecture experience.

Key Responsibilities

• Lead end-to-end delivery of enterprise data engineering and data platform initiatives.
• Partner with FP&A, Finance, and executive leadership teams to translate business requirements into scalable data solutions.
• Design and implement modern data architectures supporting analytics, reporting, forecasting, and machine learning workloads.
• Drive data integration, data modeling, data governance, and data quality initiatives across multiple source systems.
• Architect and oversee large-scale data transformation programs involving structured and unstructured data.
• Lead development teams in building robust ETL/ELT pipelines and cloud-native data solutions.
• Ensure delivery excellence through effective planning, execution, risk management, and stakeholder communication.
• Collaborate with business and technical teams to establish data standards, best practices, and reusable frameworks.
• Provide technical leadership and mentorship to data engineers, architects, and analysts.
• Present technical and business solutions to senior executives and key stakeholders.

Experience Required

• 20-25 years of overall experience in Information Technology services across multiple industries.
• Proven experience leading enterprise-scale data engineering and analytics programs.
• Strong experience working directly with senior executives and business stakeholders.
• Demonstrated experience delivering FP&A, financial reporting, forecasting, and analytics solutions.
• Data Engineering & Architecture: 8-10 years of experience designing and implementing enterprise data platform architectures.
• Strong expertise in: Data Engineering, Big Data Platforms, Machine Learning, Deep Learning, Natural Language Processing (NLP), Time Series Analysis, Data Mining, Optimization & Simulation, Linear and Non-Linear Modeling.
• Data Integration & Analytics: 5+ years of experience designing and implementing data consolidation and conformance solutions across disparate enterprise data sources.
• Extensive Experience With Snowflake, Oracle Database, SQL Development and Performance Optimization.
• Cloud Technologies: 3+ years of hands-on experience with AWS cloud services.
• Experience designing scalable cloud-native data platforms and data pipelines.

Preferred Qualifications

• Experience with Informatica Intelligent Cloud Services (IICS).
• Experience building high-volume ETL/ELT data pipelines.
• Strong hands-on experience with Power BI development, dashboards, and data visualization.
• Experience implementing modern data governance, metadata management, and data quality frameworks.
• Knowledge of Agile delivery methodologies and DevOps practices for data platforms.

Required Skills

• FP&A Domain Expertise.
• Data Engineering.
• Data Platform Architecture.
• Snowflake, Oracle Database, SQL.
• AWS Cloud.
• Data Warehousing, Data Modeling, ETL/ELT Development.
• Executive Stakeholder Management.
• Program & Delivery Leadership.

Soft Skills

• Exceptional communication and presentation skills.
• Strong executive presence with the ability to engage C-level stakeholders.
• Strategic thinking combined with hands-on technical leadership.
• Proven ability to lead cross-functional teams in complex enterprise environments.
• Strong problem-solving and decision-making capabilities.