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Director, Data Engineering & Analytics

KeHE Distributors

Naperville, Illinois • Today

Full-time

USD 156,640.00 per year

Sr. Director, Data Engineering

JLL

Chicago, Illinois • Today

Full-time

USD 229,000.00 - 309,000.00 per year

Associate Director, Data & Analytics

Grant Thornton LLP

Chicago, Illinois • Today

Full-time

USD 172,000.00 - 250,000.00 per year

Director Data Science & Analytics Product Development International Markets

Trans Union LLC

Chicago, Illinois • Today

Full-time

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Director, Data Products & Analytics Engineering - 992052

Nova Southeastern University

Remote or Florida • Today

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Director of Engineering, Data

Boulevard

Remote • Today

Full-time

USD 262,000.00 - 314,000.00 per year

Managing Director - Enterprise Architecture, Data & AI Governance

Baker Tilly

Chicago, Illinois • Today

Full-time

Compensation information provided in the description

Director Data Platform Governance - SAP MDG

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Chicago, Illinois • Today

Easy Apply

Contract, Third Party

Depends on Experience

Lead Director - Data Scientist - Forecasting Accuracy and Analytical insights for Underwriting

CVS Health

Remote or Texas • Today

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USD 144,200.00 - 288,400.00 per year

Senior Director, AI & Data Science Solutions

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Remote • Today

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USD 230,720.00 - 345,000.00 per year

Director - Data & AI Solutions - Financial Services, Actuarial - REMOTE

Nationwide Mutual Insurance Company

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USD 122,000.00 - 214,000.00 per year

Director - Data & AI Solutions - Financial Services, Actuarial - REMOTE

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Senior Director Internal Audit, Data Science and AI

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Easy Apply

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Associate Director of Data Strategy

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Easy Apply

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Director of Data Science (Remote)

Forbes Advisor

Remote or Wilmington, North Carolina • 26d ago

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Senior Director, Data and AI Engineer

Otsuka Pharmaceutical Co., Ltd.

Remote • Today

Full-time

USD 230,720.00 - 345,000.00 per year

Director, Data Engineering & AI

West Monroe

Chicago, Illinois • Today

Full-time

USD 200,000.00 - 275,000.00 per year

Managing Director, Data and AI - Operational Intelligence

West Monroe

Chicago, Illinois • Today

Full-time

USD 280,000.00 - 378,000.00 per year

Director, Data Management

Green Dot Corporation

Remote or Los Angeles, California • Today

Full-time

USD 179,700.00 - 259,900.00 per year

Lead Director - Artificial Intelligence, Machine Learning and Data Engineering

CVS Health

Remote or Connecticut • Today

Full-time

USD 144,200.00 - 288,400.00 per year

Job Details

Skills

FSA
Life Insurance
NATURAL
Partnership
Product Management
Enterprise Architecture
Warehouse
Information Security
Change Management
Use Cases
Master Data Management
Access Control
Design Review
Development Testing
Mentorship
Innovation
Accountability
Collaboration
Data Analysis
Artificial Intelligence
Data Warehouse
Modeling
Dimensional Modeling
Data Integration
Data Quality
Meta-data Management
Microsoft Azure
Return On Investment
Operational Efficiency
Decision-making
Data Governance
Data Security
Identity Management
Privacy
Regulatory Compliance
Production Support
KPI
Continuous Improvement
Capacity Management
Roadmaps
Presentations
Investments
Strategic Thinking
Problem Solving
Conflict Resolution
Relationship Management
IT Security
Computer Science
Information Systems
Mathematics
Data Engineering
Data Architecture
Leadership
Management
Offshoring
Reporting
Business Intelligence
Agile
DevOps
Continuous Integration
Continuous Delivery
Release Management
Automated Testing
Incident Management
Documentation
Cloud Computing
Amazon Web Services
Microsoft
SQL
Python
Orchestration
Microsoft Power BI
Semantics
Extract
Transform
Load
ELT
Amazon Redshift
Snow Flake Schema
Databricks
Analytics
Finance
Supply Chain Management
Budget
Vendor Management
Communication
Forms
SAP BASIS
Military
Law
Promotions
Training
Human Resources
Recruiting

FSA
Life Insurance
NATURAL
Partnership
Product Management
Enterprise Architecture
Warehouse
Information Security
Change Management
Use Cases
Master Data Management
Access Control
Design Review
Development Testing
Mentorship
Innovation
Accountability
Collaboration
Data Analysis
Artificial Intelligence
Data Warehouse
Modeling
Dimensional Modeling
Data Integration
Data Quality
Meta-data Management
Microsoft Azure
Return On Investment
Operational Efficiency
Decision-making
Data Governance
Data Security
Identity Management
Privacy
Regulatory Compliance
Production Support
KPI
Continuous Improvement
Capacity Management
Roadmaps
Presentations
Investments
Strategic Thinking
Problem Solving
Conflict Resolution
Relationship Management
IT Security
Computer Science
Information Systems
Mathematics
Data Engineering
Data Architecture
Leadership
Management
Offshoring
Reporting
Business Intelligence
Agile
DevOps
Continuous Integration
Continuous Delivery
Release Management
Automated Testing
Incident Management
Documentation
Cloud Computing
Amazon Web Services
Microsoft
SQL
Python
Orchestration
Microsoft Power BI
Semantics
Extract
Transform
Load
ELT
Amazon Redshift
Snow Flake Schema
Databricks
Analytics
Finance
Supply Chain Management
Budget
Vendor Management
Communication
Forms
SAP BASIS
Military
Law
Promotions
Training
Human Resources
Recruiting

Summary

Why Work for KeHE?

Full-time
Pay Range: $156,640.00/Yr. - $229,598.00/Yr.
Shift Days: , Shift Time:
Benefits on Day 1
- Health/Rx
- Dental
- Vision
- Flexible and health spending accounts (FSA/HSA)
- Supplemental life insurance
- 401(k)
- Paid time off
- Paid sick time
- Short term & long term disability coverage (STD/LTD)
- Employee stock ownership (ESOP)
- Holiday pay for company designated holidays
Overview

At KeHE, we're obsessed with creating solutions, unboxing potential, and serving others - and it all starts with you. As an employee-owned distributor of natural and organic, specialty, and fresh products, we're committed to making a positive impact and scaling our success together. With a culture that fosters development and opportunity, you'll be embarking on a career that's moving forward. When you join KeHE, you're becoming part of a team that is a force for good.

Primary Responsibilities

The Director, Data Engineering & Analytics is accountable for the strategy, delivery, reliability, and continuous improvement of KeHE's enterprise data, analytics, and business intelligence capabilities. This leader directly manages and mentors managers and senior professionals responsible for data engineering, analytics platforms, semantic models, reporting solutions, data governance, and operational support. The role partners closely with business and technology leaders to translate enterprise priorities into scalable data products, actionable insights, and measurable business outcomes while ensuring solutions align with KeHE's architecture principles, security standards, and Mission, Vision, and Values.

Essential Functions

DUTIES, TASKS AND RESPONSIBILITIES:
- Provide strategic, technical, and operational leadership across data engineering and analytics platform teams.
- Own and communicate the data and analytics roadmap in partnership with Product Management, business stakeholders, enterprise architecture, security, and infrastructure teams.
- Lead the design, build, deployment, and support of scalable data pipelines, curated data products, reporting solutions, semantic layers, and analytics platforms.
- Drive modernization of enterprise analytics capabilities, including cloud data platforms, Power BI, data lakehouse or warehouse patterns, orchestration, automation, metadata management, and self-service analytics enablement.
- Establish and monitor delivery, quality, adoption, reliability, and operational health metrics for data products, platforms, and team performance.
- Ensure data solutions follow architecture principles, information security requirements, privacy expectations, data governance standards, and change management practices.
- Partner with business leaders across Finance, Commercial, Operations, Supply Chain, and IT to prioritize high-value analytics use cases and deliver measurable outcomes.
- Champion data quality, master data alignment, lineage, stewardship, access controls, documentation, and sustainable support models.
- Lead teams through product-centric delivery practices, including requirements refinement, design reviews, development, testing, release readiness, validation, adoption support, and continuous improvement.
- Manage budgets, vendor and consulting partner relationships, resource plans, work plans, schedules, risks, and performance expectations.
- Hire, coach, mentor, and develop managers and individual contributors; create individual development plans, succession plans, and clear team goals.
- Foster a culture of innovation, accountability, proactive communication, continuous learning, automation, and cross-functional collaboration.
- Stay current with emerging data, analytics, AI, cloud, governance, and integration trends and apply them pragmatically to improve business outcomes.
- The above statement of duties is not intended to be all inclusive, and other duties will be assigned as needed.
Minimum Requirements, Qualifications, Additional Skills, Aptitude

SKILLS, KNOWLEDGE AND ABILITIES:
- Proven track record leading data engineering, analytics, BI, or data platform teams in a matrixed enterprise environment.
- Strong understanding of modern data architecture patterns, including cloud data platforms, data warehouses, data lakes or lakehouses, ETL/ELT, orchestration, semantic modeling, APIs, and governed self-service analytics.
- Deep experience with SQL, dimensional modeling, data integration, data quality practices, metadata, lineage, and enterprise reporting design.
- Experience with BI and analytics platforms such as Power BI and with cloud-based data services, preferably AWS, Microsoft Fabric, Azure, Snowflake, Redshift, Databricks, or equivalent platforms.
- Ability to connect technical delivery to business outcomes, adoption, ROI, risk reduction, operational efficiency, and executive decision-making.
- Strong knowledge of data governance, data security, access management, privacy, compliance, auditability, and production support expectations.
- Experience establishing KPIs, service levels, delivery metrics, platform health measures, and continuous improvement routines.
- Strong vendor management, budgeting, capacity planning, roadmap planning, and prioritization capabilities.
- Exceptional written, verbal, and presentation skills, with the ability to communicate complex data and technology concepts to executive, business, and technical audiences.
- Strong storytelling skills to translate analytics insights, platform investments, risks, decisions, and tradeoffs into clear leadership-level narratives.
- Strategic thinking, critical problem-solving, and pragmatic execution skills with an entrepreneurial and future-looking mindset.
- Strong relationship management skills and the ability to build trust across business, technology, security, architecture, and operations teams.
- Ability to lead through ambiguity, manage competing priorities, influence without direct authority, and build scalable operating models.
EDUCATION AND EXPERIENCE:
- Bachelor's degree in Computer Science, Data Engineering, Information Systems, Analytics, Engineering, Mathematics, or a related technical field. A Master's degree is preferred.
- 10+ years of progressive experience in data engineering, analytics, data architecture, and enterprise technology delivery.
- 5 to 7 years of people leadership experience managing managers, technical leads, data engineers, BI developers, analytics professionals, administrators, contractors, or offshore teams.
- Demonstrated experience delivering enterprise data platforms, analytics products, reporting solutions, data pipelines, and governed self-service BI capabilities using agile, product-centric, or hybrid delivery methods.
- Experience with DevOps or DataOps practices, including CI/CD, release management, automated testing, monitoring, incident management, documentation, and operational support.
- Experience with cloud-based providers and enterprise data services, preferably AWS and/or Microsoft data platforms.
- Experience with modern integration and analytics technologies such as SQL, Python, APIs, orchestration tools, Power BI, semantic models, ETL/ELT tools, data catalogs, Redshift, Fabric, Snowflake, Databricks, or equivalent platforms.
- Experience leading cross-functional analytics initiatives that serve business functions such as Finance, Commercial, Operations, Supply Chain, or Enterprise IT.
- Experience with budgeting, vendor management, consulting partner oversight, delivery governance, and executive stakeholder communication.
PHYSICAL REQUIREMENTS:

These physical demands are representative of the physical requirements necessary for an employee to successfully perform the essential functions of the job.

Requisition ID

2026-30021

Equal Employer Opportunity Statement

KeHE Distributors provides equal employment opportunities to all employees and applicants for employment and prohibits all forms of discrimination and harassment on the basis of race, color, religion or faith, sex, gender, age, ancestry, national origin, mental or physical disability or medical condition, sexual orientation, gender identity or expression, marital status, military or veteran status, genetic information, or any other category protected under federal, state, or local law. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training as well as the administration of all Human Resources and Talent Acquisition processes.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: RTX153802
Position Id: b72c1d7447ca9fcdb2a852b30ff9266f
Posted 30+ days ago

Fitment

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Job Details

Skills

FSA
Life Insurance
NATURAL
Partnership
Product Management
Enterprise Architecture
Warehouse
Information Security
Change Management
Use Cases
Master Data Management
Access Control
Design Review
Development Testing
Mentorship
Innovation
Accountability
Collaboration
Data Analysis
Artificial Intelligence
Data Warehouse
Modeling
Dimensional Modeling
Data Integration
Data Quality
Meta-data Management
Microsoft Azure
Return On Investment
Operational Efficiency
Decision-making
Data Governance
Data Security
Identity Management
Privacy
Regulatory Compliance
Production Support
KPI
Continuous Improvement
Capacity Management
Roadmaps
Presentations
Investments
Strategic Thinking
Problem Solving
Conflict Resolution
Relationship Management
IT Security
Computer Science
Information Systems
Mathematics
Data Engineering
Data Architecture
Leadership
Management
Offshoring
Reporting
Business Intelligence
Agile
DevOps
Continuous Integration
Continuous Delivery
Release Management
Automated Testing
Incident Management
Documentation
Cloud Computing
Amazon Web Services
Microsoft
SQL
Python
Orchestration
Microsoft Power BI
Semantics
Extract
Transform
Load
ELT
Amazon Redshift
Snow Flake Schema
Databricks
Analytics
Finance
Supply Chain Management
Budget
Vendor Management
Communication
Forms
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Military
Law
Promotions
Training
Human Resources
Recruiting

FSA
Life Insurance
NATURAL
Partnership
Product Management
Enterprise Architecture
Warehouse
Information Security
Change Management
Use Cases
Master Data Management
Access Control
Design Review
Development Testing
Mentorship
Innovation
Accountability
Collaboration
Data Analysis
Artificial Intelligence
Data Warehouse
Modeling
Dimensional Modeling
Data Integration
Data Quality
Meta-data Management
Microsoft Azure
Return On Investment
Operational Efficiency
Decision-making
Data Governance
Data Security
Identity Management
Privacy
Regulatory Compliance
Production Support
KPI
Continuous Improvement
Capacity Management
Roadmaps
Presentations
Investments
Strategic Thinking
Problem Solving
Conflict Resolution
Relationship Management
IT Security
Computer Science
Information Systems
Mathematics
Data Engineering
Data Architecture
Leadership
Management
Offshoring
Reporting
Business Intelligence
Agile
DevOps
Continuous Integration
Continuous Delivery
Release Management
Automated Testing
Incident Management
Documentation
Cloud Computing
Amazon Web Services
Microsoft
SQL
Python
Orchestration
Microsoft Power BI
Semantics
Extract
Transform
Load
ELT
Amazon Redshift
Snow Flake Schema
Databricks
Analytics
Finance
Supply Chain Management
Budget
Vendor Management
Communication
Forms
SAP BASIS
Military
Law
Promotions
Training
Human Resources
Recruiting

Summary

Why Work for KeHE?

Full-time
Pay Range: $156,640.00/Yr. - $229,598.00/Yr.
Shift Days: , Shift Time:
Benefits on Day 1
- Health/Rx
- Dental
- Vision
- Flexible and health spending accounts (FSA/HSA)
- Supplemental life insurance
- 401(k)
- Paid time off
- Paid sick time
- Short term & long term disability coverage (STD/LTD)
- Employee stock ownership (ESOP)
- Holiday pay for company designated holidays
Overview

At KeHE, we're obsessed with creating solutions, unboxing potential, and serving others - and it all starts with you. As an employee-owned distributor of natural and organic, specialty, and fresh products, we're committed to making a positive impact and scaling our success together. With a culture that fosters development and opportunity, you'll be embarking on a career that's moving forward. When you join KeHE, you're becoming part of a team that is a force for good.

Primary Responsibilities

The Director, Data Engineering & Analytics is accountable for the strategy, delivery, reliability, and continuous improvement of KeHE's enterprise data, analytics, and business intelligence capabilities. This leader directly manages and mentors managers and senior professionals responsible for data engineering, analytics platforms, semantic models, reporting solutions, data governance, and operational support. The role partners closely with business and technology leaders to translate enterprise priorities into scalable data products, actionable insights, and measurable business outcomes while ensuring solutions align with KeHE's architecture principles, security standards, and Mission, Vision, and Values.

Essential Functions

DUTIES, TASKS AND RESPONSIBILITIES:
- Provide strategic, technical, and operational leadership across data engineering and analytics platform teams.
- Own and communicate the data and analytics roadmap in partnership with Product Management, business stakeholders, enterprise architecture, security, and infrastructure teams.
- Lead the design, build, deployment, and support of scalable data pipelines, curated data products, reporting solutions, semantic layers, and analytics platforms.
- Drive modernization of enterprise analytics capabilities, including cloud data platforms, Power BI, data lakehouse or warehouse patterns, orchestration, automation, metadata management, and self-service analytics enablement.
- Establish and monitor delivery, quality, adoption, reliability, and operational health metrics for data products, platforms, and team performance.
- Ensure data solutions follow architecture principles, information security requirements, privacy expectations, data governance standards, and change management practices.
- Partner with business leaders across Finance, Commercial, Operations, Supply Chain, and IT to prioritize high-value analytics use cases and deliver measurable outcomes.
- Champion data quality, master data alignment, lineage, stewardship, access controls, documentation, and sustainable support models.
- Lead teams through product-centric delivery practices, including requirements refinement, design reviews, development, testing, release readiness, validation, adoption support, and continuous improvement.
- Manage budgets, vendor and consulting partner relationships, resource plans, work plans, schedules, risks, and performance expectations.
- Hire, coach, mentor, and develop managers and individual contributors; create individual development plans, succession plans, and clear team goals.
- Foster a culture of innovation, accountability, proactive communication, continuous learning, automation, and cross-functional collaboration.
- Stay current with emerging data, analytics, AI, cloud, governance, and integration trends and apply them pragmatically to improve business outcomes.
- The above statement of duties is not intended to be all inclusive, and other duties will be assigned as needed.
Minimum Requirements, Qualifications, Additional Skills, Aptitude

SKILLS, KNOWLEDGE AND ABILITIES:
- Proven track record leading data engineering, analytics, BI, or data platform teams in a matrixed enterprise environment.
- Strong understanding of modern data architecture patterns, including cloud data platforms, data warehouses, data lakes or lakehouses, ETL/ELT, orchestration, semantic modeling, APIs, and governed self-service analytics.
- Deep experience with SQL, dimensional modeling, data integration, data quality practices, metadata, lineage, and enterprise reporting design.
- Experience with BI and analytics platforms such as Power BI and with cloud-based data services, preferably AWS, Microsoft Fabric, Azure, Snowflake, Redshift, Databricks, or equivalent platforms.
- Ability to connect technical delivery to business outcomes, adoption, ROI, risk reduction, operational efficiency, and executive decision-making.
- Strong knowledge of data governance, data security, access management, privacy, compliance, auditability, and production support expectations.
- Experience establishing KPIs, service levels, delivery metrics, platform health measures, and continuous improvement routines.
- Strong vendor management, budgeting, capacity planning, roadmap planning, and prioritization capabilities.
- Exceptional written, verbal, and presentation skills, with the ability to communicate complex data and technology concepts to executive, business, and technical audiences.
- Strong storytelling skills to translate analytics insights, platform investments, risks, decisions, and tradeoffs into clear leadership-level narratives.
- Strategic thinking, critical problem-solving, and pragmatic execution skills with an entrepreneurial and future-looking mindset.
- Strong relationship management skills and the ability to build trust across business, technology, security, architecture, and operations teams.
- Ability to lead through ambiguity, manage competing priorities, influence without direct authority, and build scalable operating models.
EDUCATION AND EXPERIENCE:
- Bachelor's degree in Computer Science, Data Engineering, Information Systems, Analytics, Engineering, Mathematics, or a related technical field. A Master's degree is preferred.
- 10+ years of progressive experience in data engineering, analytics, data architecture, and enterprise technology delivery.
- 5 to 7 years of people leadership experience managing managers, technical leads, data engineers, BI developers, analytics professionals, administrators, contractors, or offshore teams.
- Demonstrated experience delivering enterprise data platforms, analytics products, reporting solutions, data pipelines, and governed self-service BI capabilities using agile, product-centric, or hybrid delivery methods.
- Experience with DevOps or DataOps practices, including CI/CD, release management, automated testing, monitoring, incident management, documentation, and operational support.
- Experience with cloud-based providers and enterprise data services, preferably AWS and/or Microsoft data platforms.
- Experience with modern integration and analytics technologies such as SQL, Python, APIs, orchestration tools, Power BI, semantic models, ETL/ELT tools, data catalogs, Redshift, Fabric, Snowflake, Databricks, or equivalent platforms.
- Experience leading cross-functional analytics initiatives that serve business functions such as Finance, Commercial, Operations, Supply Chain, or Enterprise IT.
- Experience with budgeting, vendor management, consulting partner oversight, delivery governance, and executive stakeholder communication.
PHYSICAL REQUIREMENTS:

These physical demands are representative of the physical requirements necessary for an employee to successfully perform the essential functions of the job.

Requisition ID

2026-30021

Equal Employer Opportunity Statement

KeHE Distributors provides equal employment opportunities to all employees and applicants for employment and prohibits all forms of discrimination and harassment on the basis of race, color, religion or faith, sex, gender, age, ancestry, national origin, mental or physical disability or medical condition, sexual orientation, gender identity or expression, marital status, military or veteran status, genetic information, or any other category protected under federal, state, or local law. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training as well as the administration of all Human Resources and Talent Acquisition processes.

Dice Id: RTX153802
Position Id: b72c1d7447ca9fcdb2a852b30ff9266f
Posted 30+ days ago

Fitment

Dice Job Match Score™

To see how well you match this job, please log in or create an account.

Once logged in, be sure to complete your profile to get the most accurate match score.

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

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