Top Data Management Jobs in Denver & Boulder, CO

Lead and grow a global data engineering team while establishing foundational data platforms and engineering standards. Design and oversee GCP-based pipelines, medallion data models, DataOps, monitoring, SLAs, CI/CD, governance, and data quality practices. Drive AI adoption across engineering workflows and build reliable, AI-ready data. Partner with business and technology stakeholders to prioritize roadmaps, deliver scalable solutions, and support data democratization.

Own and operate Toast’s enterprise data governance program, including data domain ownership, governance council coordination, policy compliance, business glossary management, metadata standards, catalog adoption, maturity assessments, and data literacy training. The role partners with business stakeholders, data stewards, catalog teams, and leadership to improve data trust, compliance, discoverability, and quality. It requires governance, metadata, SQL, data catalog, program management, and workshop facilitation experience.

Leads the enterprise data platform strategy, architecture, governance, and evolution. Manages a central data team and enables federated self-service analytics across business functions. Builds AI-ready data pipelines, RAG and Graph RAG architectures, custom data applications, observability, cost optimization, and AIOps capabilities. Requires hands-on expertise with Snowflake, dbt, modern ETL, Python, SQL, CI/CD, and Data Mesh architectures, along with 5+ years leading technical data teams.

Lead development and execution of data-driven strategies, manage project planning and delivery, mentor and coach team members, ensure quality and ethical standards, design cloud data architectures and governance frameworks, analyze complex datasets to produce actionable insights, and drive continuous improvement using advanced analytics and modern data technologies.

Lead development and implementation of data governance strategies, manage client accounts and deliverables, supervise and mentor teams, analyze data to inform business decisions, ensure compliance with firm standards, and identify improvements in data management processes.

Owns and maintains organizing data systems, voter-contact tools, and organizational databases. Ensures data integrity through quality assurance, audits, standardized processes, documentation, and permission management. Supports organizers by troubleshooting tools, managing data requests, providing training, and improving workflows. Writes SQL queries in BigQuery, develops reports and visualizations, supports integrations, and collaborates with engineering and analytics teams on data models and priorities.

Manages client, compliance, and performance reporting across healthcare programs using eligibility and claims data. Leads reporting analysts while remaining hands-on with advanced SQL, dashboards, data crosswalks, validation, reconciliation, root-cause analysis, and data-quality monitoring. Partners with data engineering and clients to resolve upstream issues, establish reporting standards, and guide the analytics roadmap.

Leads the architecture and implementation of Nokia’s scalable data platforms for photonic integrated circuit operations. Responsibilities include developing lakehouse and warehouse solutions, data models, batch and streaming pipelines, data quality and observability frameworks, CI/CD and DataOps practices, governance, security, and AI-ready data foundations. The role also leads and mentors product engineering teams, enables secure self-service analytics, and drives enterprise data excellence and innovation.

Manages architecture, governance, security, and lifecycle administration for defense modeling and simulation datasets. Builds databases and ETL pipelines for synthetic and live-virtual-constructive environments, maintains VV&A data pedigree, enforces DoD data standards, and supports secure HPC integration. Collaborates with engineers, data scientists, and military stakeholders to deliver reliable data structures and automated pipelines for simulation, testing, and warfighter readiness.

Build and lead Inovalon’s third-party data governance program, including data asset inventory, licensing controls, contractual rights management, data intake and release governance, audit readiness, compliance monitoring, and KPI reporting. Partner with Legal, Privacy, Procurement, and business leaders to manage data usage, renewals, access revocation, disposition, and downstream obligations. Develop a governance team while applying expertise in healthcare data, HIPAA, de-identification, and data licensing.

Leads analytics and measurement strategies for digital products, customer experiences, clinical interventions, and pharmacy workflows. Translates business questions into KPIs, analytical plans, reporting solutions, and recommendations. Performs opportunity sizing, segmentation, journey analysis, data quality evaluation, revenue forecasting, and value tracking. Partners with product, data engineering, technology, and commercialization teams while communicating insights to senior stakeholders and improving automation and analytics practices.

Lead the Underwriting Data Analyst team supporting pharmaceutical underwriting, pricing, sales, and client retention. Manage analysts, oversee data collection and quality, develop SQL, Python, and R infrastructure, create analyses and reporting, support pricing models, review analytical outputs, and coordinate cross-functional initiatives. Train team members, manage work queues, document processes, and provide subject-matter expertise on underwriting data and systems.

Leads analytics initiatives and develops reporting, dashboards, automation, data models, and AI-enabled solutions to support business decisions. Manages priorities, timelines, risks, and stakeholder relationships across projects while coaching an analytics team. Reviews solution quality, guides technical delivery, and identifies opportunities for self-service analytics and process improvement. Requires six or more years of analytics or business intelligence experience, leadership experience, and proficiency with platforms such as Power BI or Tableau.

Leads analytics initiatives and manages a team of analytics professionals while delivering reports, dashboards, automation, data models, and AI-enabled solutions. Partners with stakeholders to define business needs, prioritize projects, manage risks, communicate progress, and drive adoption. Coaches team members, reviews solution quality, and improves efficiency through self-service analytics and modern tools. Requires substantial analytics experience, people or project leadership, and expertise with business intelligence platforms and semantic data models.

Manage and grow Ashby’s data analytics team while remaining hands-on with analytical work. The role includes hiring and coaching analysts, improving data practices, prioritizing requests, developing specialization, maintaining analytical quality, and guiding responsible AI adoption. The manager will work across raw and modeled data, dbt models, metric definitions, dashboards, and internal data products, partnering closely with business teams in a remote, high-growth B2B SaaS environment.

Manage a team of 2–3 analysts while remaining hands-on with SQL, dbt models, dashboards, and complex operational analyses. Lead ambiguous, cross-functional initiatives, deliver recommendations to senior stakeholders, ensure data quality, and improve reporting automation. Partner on AI analytics strategy, data readiness, agent evaluation, and human-in-the-loop governance. Responsibilities include coaching, prioritization, performance management, technical review, KPI development, and operational insights across customer experience, fraud, payments, workforce management, and VIP functions.

Leads data engineering, business intelligence, and analytics teams; oversees data pipelines, integration infrastructure, database architecture, CI/CD practices, and enterprise data platform strategy. Partners with business and technology stakeholders to define requirements, improve data capabilities, maintain Ubuntu-based services, and deliver reporting and KPIs to leadership. Responsible for team hiring, development, mentoring, operational health, and technical execution across analytics and data integration platforms.

Analyze medical claims (inpatient, outpatient, SNF, rehab, professional, DME) to identify utilization and root causes. Pull/integrate data, perform QA, present findings, maintain attribution methodology, coordinate stakeholders, and develop tools. Primary coding: Hive, SQL, Python.

Leads and develops a Data Platform engineering team while owning delivery of complex data initiatives. The role establishes delivery discipline, assesses technical and implementation risks, partners cross-functionally, and drives production reliability, data quality, observability, incident management, and on-call readiness. It also guides the evolution of scalable data ingestion, transformation, lakehouse, cloud architecture, governance, and reusable platform capabilities.

Manages financial aid systems, databases, SQL queries, reports, dashboards, integrations, automation, and data quality. Troubleshoots complex technical issues, supports Banner and related enterprise systems, administers compliant financial aid processes, and coordinates upgrades and testing. Leads process improvement initiatives, trains staff, documents technical procedures, and collaborates with IT, vendors, and campus stakeholders. Provides financial aid customer service and counseling while supporting regulatory compliance and operational reporting.

Manages corporate real estate spatial data, CAD drawings, CAFM systems, space allocation models, reporting, data governance, and system administration. Supports project management, occupancy planning, and move management by maintaining accurate as-built drawings, monitoring space data, establishing global standards, coordinating system integrations, training users, and recommending process improvements. Requires expertise in CAD/CAFM, drafting, space planning, and corporate real estate data management.

Leads a team of five experienced analysts and data scientists while personally owning strategic analytics across ecommerce, health, supply chain, inventory, fulfillment, and merchandising. Partners with executives, establishes KPI and reporting standards, prioritizes the analytics roadmap, and delivers actionable business insights. The role also advances AI-native, self-service analytics capabilities, strengthens data governance and quality, and builds a high-performing analytics culture.

Leads a team of data engineers responsible for building and scaling Niche’s data platform. Oversees data pipelines, warehouse layers, platform reliability, data quality, monitoring, and engineering best practices. Manages roadmap execution, Agile rituals, cross-functional collaboration, hiring, mentoring, and career development. The role also drives process improvements, operational excellence, scalability, and delivery of secure, observable data solutions supporting analytics, reporting, content, and operational systems.

Leads customer data engineering strategy, delivery, team development, and roadmapping. Oversees data-driven product improvements, digital programs, quality initiatives, budgets, cybersecurity remediation, and portfolio management. Manages, mentors, and grows data engineering teams, including contractor teams, while guiding customer data platforms, omnichannel identity resolution, complex data modeling, and personalization-focused data science capabilities. Partners across the organization to execute strategic initiatives and build team capability.

Leads end-to-end data architecture, engineering pipelines, semantic-layer development, data quality, monitoring, and platform operations. Manages agile sprint planning, release delivery, DevOps metrics, and cross-functional project plans. Establishes MLOps and machine-learning platform capabilities, mentors data engineers, manages team members, and ensures reliable, well-governed data solutions for business intelligence and reporting.