Top 13 Data science manager Jobs in Little Rock, Ar

Manager of Data Engineering
Summit Utilities Inc —Little Rock, AR
- Full-time
- Hybrid work
- Computer science
- Computer Science
- DevOps
- Health insurance
- Vision insurance
Quick Apply
4d
Data Engineer - Senior Manager
PRICE WATERHOUSE COOPERS —Little Rock, AR
- $124,000 - $280,000 a year
- Azure
- 8 years
- AWS
- Paid holidays
- Health insurance
Managed Services - Senior Business Anaylst - Manager
PRICE WATERHOUSE COOPERS —Little Rock, AR
- $99,000 - $232,000 a year
- Computer Science
- Java
- Finance
- Paid holidays
- Health insurance
12d
Data Engineer - Manager
PRICE WATERHOUSE COOPERS —Little Rock, AR
- $99,000 - $232,000 a year
- 5 years
- DevOps
- Research
- Paid holidays
- Health insurance
AI Solutions Engineering Delivery Lead
PRICE WATERHOUSE COOPERS —Little Rock, AR
- $122,500 - $504,500 a year
- Remote
- Azure
- Computer Science
- SQL
- Paid holidays
- Health insurance
NGA AI Engineer Senior Manager
PRICE WATERHOUSE COOPERS —Little Rock, AR
- $91,000 - $321,500 a year
- 6 years
- Computer Science
- Master's degree
- Paid holidays
- Health insurance
Applied AI Health Data System Engineer-Senior Manager
PRICE WATERHOUSE COOPERS —Little Rock, AR
- $124,000 - $280,000 a year
- 6 years
- HIPAA
- SQL
- Paid holidays
- Health insurance
NGA AI Engineer Manager
PRICE WATERHOUSE COOPERS —Little Rock, AR
- $73,500 - $244,000 a year
- Computer Science
- Master's degree
- High school diploma or GED
- Paid holidays
- Health insurance
Applied AI Health System Engineer – Senior Manager
PRICE WATERHOUSE COOPERS —Little Rock, AR
- $124,000 - $280,000 a year
- Azure
- HIPAA
- 8 years
- Paid holidays
- Health insurance
US Tech - AI Engineering Manager
PRICE WATERHOUSE COOPERS —Little Rock, AR
- $73,500 - $244,000 a year
- Remote
- Azure
- DevOps
- System design
- Paid holidays
- Health insurance
CTIO AI Engineering Manager
PRICE WATERHOUSE COOPERS —Little Rock, AR
- $73,500 - $244,000 a year
- Azure
- Computer Science
- 5 years
- Paid holidays
- Health insurance
ERP AI Engineer - Manager
PRICE WATERHOUSE COOPERS —Little Rock, AR
- $99,000 - $232,000 a year
- 7 years
- Oracle
- Computer Science
- Paid holidays
- Health insurance

Related jobs to explore

Based on your search for data science manager

Market Monitor II, Senior, Senior II, or Lead - Remote Eligible
Southwest Power Pool —Little Rock, AR
Senior Market Monitor: Five (5) Years of experience in market monitoring, power marketing, RTO operations, economic analysis, data analysis, data science, or a…
$76,000 - $96,900 a year
Senior, Senior II or Lead Energy Economist
Southwest Power Pool —Little Rock, AR
5 years of experience in market monitoring, power marketing, utility regulation or operations, RTO/ISO operations, economic analysis, data analysis, or a…
$97,580 - $126,795 a year

Show more related jobs

Explore jobs in cities nearby

Check out jobs in cities near your current location, Columbus

Data Science Manager
Kemper Insurance —Columbus, OH
Graduate degree in Mathematics, Statistics, Engineering, or other STEM field with 6-8 years of experience in insurance industry or related industry in a data…
$115,700 - $192,900 a year
Quick Apply
5d
Data Scientist Supervisor
State of Ohio - Opportunities for Ohioans with Disabilities —Columbus, OH
The selected candidate must provide own transportation or, in order to operate a state vehicle, must have a valid driver’s license.
$44.38 - $55.15 an hour
12d

Show more jobs in cities nearby

I want to receive the latest job alert for data science manager in little rock, ar

By signing in to your account, you agree to SimplyHired's Terms of Service and consent to our Cookie and Privacy Policy.

Explore jobs in more locations

data science manager jobs near little rock, ar

Manager of Data Engineering

Summit Utilities Inc -
Little Rock, AR

Quick Apply

Job Details

Full-time
4 days ago

Benefits

Health insurance
Vision insurance

Qualifications

Data-driven problem-solving

Full Job Description

Join our growing team and discover why Summit Utilities, Inc. continues to earn national and regional recognition as an employer of choice. Our recognitions include Best Places to Work in Maine (2019–2025); Best Places to Work in Arkansas (2020, 2023, 2025); Best Places to Work in Oklahoma (2022–2025); Best Places to Work in Missouri (2023 and 2026); Best Places to Work in Colorado (2025); Forbes America’s Best Small Employers (2023); and, most recently, Proud and Purposeful Employer (2026).

Summit is a growing natural gas utility that’s committed to delivering reliable energy to homes and businesses in Arkansas, Colorado, Maine, Missouri, Oklahoma, and Texas. Being part of the Summit team means embracing excellence and innovation, committing to safety each and every day, and doing all that we can to serve each other, our customers, and the communities where we live. We aim to bring warmth and energy to everything we do.

We are pleased to announce an exciting opportunity for a Manager of Data Engineering (SGL35) to join our team. This hybrid role may be based in one of our offices in Little Rock, Fort Smith, or Fayetteville, Arkansas.

POSITION SUMMARY

A Manager of Data Engineering leads and mentors the data engineering team, overseeing the design, development, implementation, and maintenance of scalable and robust data infrastructure and pipelines. Successful candidates are strategic thinkers, possess strong leadership qualities, and are adept at managing complex data projects in a fast-paced environment. They are responsible for ensuring data quality, integrity, and accessibility across the enterprise. A Manager of Data Engineering collaborates daily with IT leadership, data engineers, scientists, analysts, and business stakeholders to define data strategy, address data needs, and drive data-informed decision-making. They must foster a culture of innovation and continuous improvement within the data engineering team.

PRIMARY DUTIES AND RESPONSIBILITIES

Lead, manage, and mentor a team of data engineers and analysts, fostering their professional growth and development.
Oversee the architecture, design, and implementation of enterprise-level data warehousing, data lakes, and data pipeline solutions.
Define and enforce data engineering best practices, standards, and methodologies.
Collaborate with cross-functional teams, including data science, business intelligence, and application development, to understand data requirements and deliver effective solutions.
Ensure the reliability, scalability, and performance of data infrastructure and systems.
Develop and implement strategies for data quality management, data governance, and data security.
Manage the full lifecycle of data engineering projects, including planning, execution, monitoring, and delivery.
Evaluate and recommend new technologies, tools, and techniques to enhance data engineering capabilities.
Drive automation of data processes to improve efficiency and reduce manual intervention.
Communicate effectively with technical teams and business stakeholders regarding project status, risks, and outcomes.
Establish and monitor key performance indicators (KPIs) for the data engineering team and data systems.
Troubleshoot and resolve complex data-related issues in a timely manner.
Develop and manage the budget for the data engineering department.
Stay current with industry trends and advancements in data engineering and big data technologies.
Champion a data-driven culture within the organization.

EDUCATION AND WORK EXPERIENCE

Bachelor’s or Master’s degree in Computer Science, Engineering, Information Technology, or a related quantitative field is preferred, or a combination of education and equivalent experience.
7+ years’ experience in data engineering, with a proven track record of designing and implementing complex data solutions.
3+ years’ experience in a leadership or managerial role, successfully leading and developing data engineering teams.

KNOWLEDGE, SKILLS, ABILITIES

Strong leadership, team-building, and interpersonal skills.
Expertise in data modeling, ETL/ELT development, and data warehousing concepts (e.g., Kimball, Inmon).
Proficiency in programming languages such as Python, Scala, or Java.
Extensive experience with big data technologies (e.g., Apache Spark, Hadoop, Kafka, Flink).
Deep understanding of cloud-based data platforms and services (e.g., AWS Redshift, S3, Glue; Azure Synapse, Data Lake Storage, Data Factory; Google BigQuery, Cloud Storage, Dataflow).
Proficient in SQL and experience with various database technologies (e.g., relational, NoSQL, columnar).
Experience with data pipeline orchestration tools (e.g., Apache Airflow, Prefect, Dagster).
Solid understanding of data governance, data quality, data lineage, and data security principles and practices.
Excellent problem-solving, analytical, and critical thinking skills.
Strong project management skills, with the ability to manage multiple priorities and deadlines.
Exceptional communication and presentation skills, with the ability to convey complex technical concepts to non-technical audiences.
Experience with DevOps and DataOps methodologies and tools (e.g., CI/CD, infrastructure-as-code).
Familiarity with business intelligence tools (e.g., Power BI, Tableau) and their data integration needs.
Strategic mindset with the ability to align data engineering initiatives with overall business objectives.

The above statements are intended to describe the general nature and level of work being performed by employees assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties and/or skills required of all personnel so classified.

Summit offers competitive pay and medical/dental/vision and other benefits that provide flexibility, choice, and support to our employees when they need it most. We understand that home and family are essential pieces of your life, and our benefits are designed to support you both at work and at home.

Summit Utilities, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or protected veteran status and will not be discriminated against on the basis of disability or veteran status.

Quick Apply

Refine Your Search

data science manager jobs in little rock, ar

Manager of Data Engineering

Data Engineer - Senior Manager

Managed Services - Senior Business Anaylst - Manager

Data Engineer - Manager

AI Solutions Engineering Delivery Lead

NGA AI Engineer Senior Manager

Applied AI Health Data System Engineer-Senior Manager

NGA AI Engineer Manager

Applied AI Health System Engineer – Senior Manager

US Tech - AI Engineering Manager

CTIO AI Engineering Manager

ERP AI Engineer - Manager

Related jobs to explore

Explore jobs in cities nearby

I want to receive the latest job alert for data science manager in little rock, ar

Explore jobs in more locations

Job Seeker Tools

Employer Tools

Browse

Stay Connected