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Data Strategy Manager Jobs in Colorado (NOW HIRING)

Deloitte

Technology Strategy Senior Manager

Denver, CO · On-site

Our professionals serve as trusted advisors to our clients, working with them to make clear, data ... The health care strategy practice is looking for a senior manager to be a part of this incredible ...

Pwc

Data Engineer - Senior Manager

Denver, CO

$124K - $280K/yr

Growing as a strategic advisor, you leverage your influence, expertise, and network to deliver ... data architecture strategies that meet current and future business needs. As a Senior Manager you ...

Danone

Senior Manager, Data Architect

Louisville, CO · Hybrid

$105K - $140K/yr

This function will be supporting business data needs for tactical and strategic business ... Excellent communication, stakeholder management, and consulting skills, with the ability to ...

Monks

Sr Manager, Media Strategy, B2B

Denver, CO · Hybrid

About the Role The Sr Manager, Media Strategy works on some of Monks' most important and valuable ... Fearless ability to tell data-driven stories and extract key insights * Building and presenting ...

Danone

Senior Manager, Data Architect

Louisville, CO · Hybrid

$105K - $140K/yr

This function will be supporting business data needs for tactical and strategic business ... Excellent communication, stakeholder management, and consulting skills, with the ability to ...

Judge Group, Inc.

Principal Data Architect

Lakewood, CO · On-site

$90 - $100/hr

This role is responsible for shaping the long-term data architecture strategy that enables ... Define and enforce data modeling, integration, and metadata management standards across business ...

Danone

Senior Manager, BI Data Architect

Louisville, CO · On-site

$105K - $140K/yr

This function will be supporting business data needs for tactical and strategic business ... Excellent communication, stakeholder management, and consulting skills, with the ability to ...

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All JobsData Strategy JobsData Strategy Manager JobsData Strategy Manager Jobs in Colorado

Data Strategy Manager information

See Colorado salary details

$32.6K

$102.1K

$180.9K

How much do data strategy manager jobs pay per year?

As of Aug 12, 2026, the average yearly pay for data strategy manager in Colorado is $102,149.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,400.00 and $132,000.00 per year, depending on experience, location, and employer.

What does a data strategy manager do?

A data strategy manager develops and oversees an organization’s data vision, ensuring data collection, management, and analysis align with business goals. They create data governance policies, collaborate with teams to implement data initiatives, and often use tools like data warehouses and analytics platforms to support decision-making.

What is the difference between Data Strategy Manager vs Data Analyst?

AspectData Strategy ManagerData Analyst
Required CredentialsBachelor's or Master's in Data Science, Business, or related fields; often certifications in data management or analyticsBachelor's in Data Science, Statistics, or related fields; certifications like Microsoft Excel, SQL, or Tableau
Work EnvironmentStrategic planning, cross-department collaboration, executive meetingsData collection, analysis, reporting, and visualization
Employer & Industry UsageUsed in corporate, tech, finance sectors focusing on data-driven strategiesCommon across various industries for data reporting and insights

The Data Strategy Manager focuses on developing and implementing data-driven strategies to support business goals, often working with leadership. In contrast, a Data Analyst primarily analyzes data sets to generate reports and insights. While both roles require strong analytical skills, the Manager role emphasizes strategic planning and leadership, whereas the Analyst role centers on data analysis and visualization.

What are some common challenges data strategy managers face when aligning data initiatives with business goals?

Data Strategy Managers often encounter challenges such as bridging the gap between technical teams and business stakeholders, ensuring that data initiatives directly support organizational objectives. They must balance ambitious data-driven projects with limited resources and sometimes unclear priorities from leadership. Additionally, navigating data governance, privacy concerns, and legacy systems can complicate efforts to create unified strategies. Effective communication and stakeholder management are key to overcoming these obstacles and driving business value.

What are the key skills and qualifications needed to thrive as a data strategy manager?

To thrive as a Data Strategy Manager, you need expertise in data analytics, business intelligence, and strategic planning, often supported by a degree in data science, business, or a related field. Familiarity with data visualization tools (such as Tableau or Power BI), data management systems, and possibly certifications in data governance or analytics is highly valuable. Strong communication, leadership, and stakeholder management skills help bridge technical and business teams while driving data initiatives. These competencies are crucial for aligning data-driven insights with organizational goals and ensuring impactful decision-making.
What are the most commonly searched types of Data Strategy jobs in Colorado? The most popular types of Data Strategy jobs in Colorado are:
What cities in Colorado are hiring for Data Strategy Manager jobs? Cities in Colorado with the most Data Strategy Manager job openings:
Data Strategy Manager jobs near you
Infographic showing various Data Strategy Manager job openings in Colorado as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 13% Part Time, and 1% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $102,149 per year, or $49.1 per hour.

Manager of Data Engineering

Summit Utilities Inc

Denver, CO • On-site

Full-time

Medical, Dental, Vision

Posted 18 days ago

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 hybrid opportunity for a Manager of Data Engineering (SGL35) based in Denver, CO.

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.

Salary based on experience $105K to $131K USD Annually.

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.