Data Solutions Engineering Manager

Position Overview

In this role, you will lead a small team of data analysts and solution engineers, acting as a central coordinator and problem-solver, interfacing between various data and technology groups to ensure smooth data operations and project delivery. You’ll work closely with the Kiewit Technology Group (KTG), Kiewit Data Services (KDS), and other internal teams to identify and resolve data issues, guide analysts, and develop tools that improve our workflows. Because this role operates with minimal oversight, you must be a self-starter who can independently identify high-value problems to solve, prioritize your time effectively, and confidently determine what’s worth pursuing without being told.

District Overview

Kiewit Engineering Group, Inc is a full-service consulting and engineering firm serving the infrastructure and engineering markets. Our combined staff of more than 1,700 engineers and design professionals have expertise that spans all major engineering disciplines to serve transportation, power, water/wastewater, mining, building, and oil, gas & chemical markets. Backed by 130 years of construction experience, our construction-driven engineering focuses on constructability and safety in the earliest phases of projects to ensure on-time and on-budget project delivery. 

Our rapidly growing Industrial Design Group, which includes process, electrical, controls, structural, architectural, geotechnical, and civil disciplines, is a multi-faceted and leading-edge division of Kiewit with best-in-class technical expertise focused on EPC and design-build delivery of industrial projects in markets such as Food & Beverage, Consumer Products, Heavy Manufacturing, Industrial Buildings Industrial Water and Utilities.

Location

This position is based out of Lenexa, Kansas.

Responsibilities

•    Leadership: Lead a small technical team (2-4+) with clear goals, ownership, and delivery expectations. Serve as direct manager or functional lead (dotted line) for some existing Industrial Data team members. 
•    Data Coordination and Issue Resolution: Serve as the go-to person for identifying data issues and finding the right contacts in KTG and KDS to get them resolved. This includes investigating with SQL scripts, guiding platform teams to the source of data errors, and ensuring the corrections are implemented.
•    Project and Tool Development: Manage and program tools (often in Python) to support our teams. Build utilities like civil estimation tools and machine learning POCs. Design and improve tools while evaluating buy vs. build decisions.
•    Guiding and Mentoring Analysts: Mentor analysts in using Python, APIs, and transitioning legacy Excel data into more robust structures. Foster a culture of curiosity and problem-solving.
•    Process Improvement and Strategic Planning: Evaluate and find ways to improve estimation workflows to accelerate delivery and increase accuracy. Reduce friction and improve collaboration across teams.
•    Data Modeling and Analytical Insight: Work independently to source, structure, and clean data from a wide range of systems using SQL and Python. With limited direction, analyze that data to generate actionable business insights — including forming and testing hypotheses, uncovering correlations, and identifying opportunities. You’ll be expected to connect technical findings to their real-world business impact and communicate your recommendations effectively.

Qualifications

- Bachelor's degree in Engineering, Computer Science, Data Science, or a related field
- Experience leading a small technical including setting direction, giving feedback, and coordinating delivery.
- 5+ years experience in analytics, tool-building, or data coordination
- Strong working knowledge of Python, SQL, APIs
- Experience collaborating across business and technical teams
- Familiarity with cloud tools (Snowflake, Power BI, etc.) a plus
Technical Skills
- Python programming for automation, prototyping, and utilities
- SQL for data investigation and transformation
- Familiarity with data visualization tools (Power BI, Streamlit)
- Comfortable reading and debugging legacy code
- Knowledge of basic ML/AI concepts a plus
Soft Skills
- Excellent communication and collaboration skills
- Curiosity and drive to solve problems independently
- Ability to explain technical topics to non-technical audiences
- Patience and gentle persistence when working across teams
- Strategic thinking and proactive mindset

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