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Manager Political Science Data Analytics Jobs in Colorado

Data Scientist

Lakewood, CO · On-site +1

$90K - $118K/yr

... Management. The individual in this position serves as a data scientist focused on research, data analysis, and machine learning application development. Learn more about this agency Duties Help * Use ...

New

... Political Science, International Relations, Computer Science, Data Analytics, Criminal Justice, Information Systems, Security Studies, Risk Management, etc. ALTERNATE EXPERIENCE General comment on ...

Technical Architect - Data, Analytics & AI

Aurora, CO · Hybrid

$64.75 - $83.25/hr

Define and maintain technical standards for enterprise data management, analytics platforms, and AI ... Collaborate with Data Science, Engineering, Security, and Risk teams to enable scalable, secure ...

Data Analyst

Denver, CO · On-site +1

$80K - $100K/yr

We do this in three ways - data analytics, data diligence, and fractional data science. Our clients are growth stage companies looking to drive additional value from the data they are sitting on.

Collaborate with data engineers, data scientists, and IT teams. * Provide timely support for ad hoc ... Support master data management initiatives across operational assets and well data. * Promote best ...

Showing results 21-40

Manager Political Science Data Analytics information

What are the key skills and qualifications needed to thrive as a manager political science data analytics, and why are they important?

To thrive as a Manager in Political Science Data Analytics, you need a strong background in political science, statistical analysis, and data interpretation, typically supported by an advanced degree in political science, statistics, or a related field. Expertise with data analytics tools like R, Python, SQL, and visualization platforms such as Tableau or Power BI, along with knowledge of data management systems, is essential. Strong leadership, critical thinking, and effective communication skills help you manage teams and clearly present complex insights to stakeholders. These competencies are vital for transforming data into actionable policy insights and guiding strategic decision-making within political or public sector organizations.

What does a manager political science data analytics do?

A Manager of Political Science Data Analytics leads teams that gather, analyze, and interpret data related to political science topics, such as voter behavior, election results, public opinion, and policy outcomes. They design research methodologies, oversee data collection and cleaning, and use statistical tools to find insights that inform political strategy or academic research. Additionally, they are responsible for communicating findings to stakeholders, ensuring the accuracy of the analysis, and staying updated with the latest trends in data analytics and political science.

How does a manager political science data analytics typically collaborate with cross-functional teams to support research initiatives?

A Manager Political Science Data Analytics often works closely with researchers, policy analysts, and IT professionals to design and implement data-driven research projects. They act as a bridge between technical data teams and subject matter experts, ensuring that data collection, analysis, and interpretation align with the goals of the research. Regular meetings, clear communication of analytical findings, and collaborative problem-solving are key aspects of the role. This collaborative environment helps translate complex data insights into actionable recommendations for policy development or academic research.
What are the most commonly searched types of Political Science Data Analytics jobs in Colorado? The most popular types of Political Science Data Analytics jobs in Colorado are:
What cities in Colorado are hiring for Manager Political Science Data Analytics jobs? Cities in Colorado with the most Manager Political Science Data Analytics job openings:
Infographic showing various Manager Political Science Data Analytics job openings in Colorado as of July 2026, with employment types broken down into 1% Internship, 90% Full Time, 7% Part Time, and 2% Contract. Highlights an 78% Physical, 6% Hybrid, and 16% Remote job distribution.

Manager Data Platform Engineering

CoorsTek, Inc.

Golden, CO • On-site

Full-time

Re-posted 18 days ago


CoorsTek rating

8.2

Company rating: 8.2 out of 10

Based on 28 frontline employees who took The Breakroom Quiz


Job description

It's exciting to work for a company that makes the world measurably better.
We're committed to bringing safety, quality, and customer focus to the business of advanced ceramics manufacturing.
Job Title
Manager Data Platform Engineering
As the Data Platform Engineering Manager (Governance & Quality), you will lead the strategy, stability, governance, and adoption of the organization's modern data platform. In this role, you will be responsible for ensuring the data ecosystem supports scalable, reliable, and business-impacting analytics capabilities. You will work cross-functionally with business stakeholders, data engineering, analytics teams, and IT leadership to guide platform direction, drive best practices, and ensure strong user adoption. This is a player-coach role that blends platform architecture oversight, operational ownership, and enablement of self-service analytics across the organization.
Roles & Responsibilities:
Platform Strategy & Architecture
  • Execute and deliver against the data platform roadmap aligned to business and analytics strategy. Contribute to and implement architectural decisions related to data ingestion, transformation, modeling patterns, Lakehouse architecture, medallion design, and Semantic and consumption layer strategy across Power BI and Sigma.
  • Ensure platform scalability, performance, cost optimization, and future-readiness.
  • Provide strong input for and introduce new platform capabilities, tooling, and automation to improve platform maturity.

Platform Stability & Operations
  • Manage platform reliability, availability, and performance monitoring.
  • Establish and manage SLAs / SLOs for data pipelines and analytics workloads, incident management and root cause processes, platform governance, security, and access patterns.
  • Partner with infrastructure / cloud teams and provide input on environment strategy, workspace management, cost visibility and optimization.
  • In coordination with Data & Analytics leadership, ensure data platform production readiness standards for data products and pipelines.

Adoption & Enablement
  • Support adoption of the data platform and self-service analytics capabilities
  • Define standards for data product design, dashboard and analytics development, documentation and discoverability. Lead user enablement initiatives such as training programs, office hours and community of practice, analytics governance forums.
  • Partner with business teams to identify high-value use cases and accelerate delivery.

Team Leadership & Delivery
  • Lead and develop a team of data engineers, analytics engineers, or platform specialists.
  • Establish delivery frameworks and prioritization processes.
  • Promote modern engineering practices including CI/CD for data pipelines, Testing and observability, Agile / product-oriented operating models.
  • Collaborate closely with Data & Analytics leadership to ensure platform investments drive measurable business outcomes.

Job Requirements:
Education and Experience:
  • Bachelor's degree in Engineering, Computer Science, Data Science or Information systems or equivalent work experience.
  • 7+ years of experience in data engineering, analytics engineering, or data platform leadership.
  • 3+ years of experience leading technical teams.

Functional/Technical Knowledge, Skills & Abilities:
  • Hands-on experience with Databricks / Lakehouse architectures.
  • Strong familiarity with modern BI and semantic consumption patterns (Power BI, Sigma, or similar).
  • Experience managing production data platforms in cloud environments (Azure, AWS, or GCP).
  • Proven ability to drive platform adoption and organizational change.
  • Strong stakeholder engagement and communication skills.

Preferred Qualifications & Experience:
  • Experience in manufacturing, industrial, or operational analytics environments.
  • Knowledge of data governance frameworks and data product operating models.
  • Experience with cost optimization and FinOps practices in analytics platforms.
  • Familiarity with orchestration tools, data ingestion tooling, and modern ELT patterns.
  • Exposure to machine learning platform enablement or MLOps.

Additional Position Details:
  • Location: Golden, CO (on-site)
  • Work Authorization: Requires U.S. Person status (U.S. citizen, a Green Card holder, or a protected refugee/asylee)

Target Hiring Range
Annual Salary: USD 128,555.00 - USD 176,763.00
Actual compensation is commensurate with experience, skills and education. CoorsTek strives to give all qualified applicants equal opportunity and to make selection decisions on job related factors. Do not provide any information on the application which will indicate your race, color, religion, national origin, sex, age, disability, sexual orientation, gender identity, pregnancy, genetic information, veteran status, or any other status protected by law or regulation.
If you like working for a company that makes a real difference in the world, you'll enjoy your career with us!

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