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Data Migration Director Jobs in Colorado (NOW HIRING)

Arkhya Tech

Network Architect

Englewood, CO · On-site

$64.25 - $86/hr

... data centers and AWS-based VMware workloads ... This role requires deep knowledge of AWS networking, VMware technologies, cloud migration ...

DaVita, Inc.

Sr. Director of Transformation

Denver, CO · On-site

$239K - $251K/yr

The Senior Director will shape the long-term vision for a portfolio of internal platforms while ... year migration of legacy applications and data assets to Google Cloud Platform and modern cloud ...

Armaninollp

Rillet Consultant

Denver, CO

... directed learning * Proactively ask questions, seek feedback, and apply new knowledge quickly to ... migration activities, including data validation and reconciliation * Help configure native ...

Current

Regional Operations Director, West

Denver, CO · On-site

$200K - $220K/yr

Coordinate Data & BI capabilities to ensure operational KPIs are captured, measured, and actioned ... migration, and financial reporting integration * Maintain a firm-level integration readiness ...

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Data Migration Director information

What is the difference between Data Migration Director vs Data Migration Manager?

AspectData Migration DirectorData Migration Manager
CredentialsTypically requires a bachelor’s degree in IT, Computer Science, or related field; certifications like PMP or data management certifications are common.Similar educational background; often holds certifications in project management or data management.
Work EnvironmentOversees multiple projects, manages teams, and collaborates with executive leadership in large organizations.Manages day-to-day migration projects, leads teams, and coordinates with stakeholders at the project level.
Industry UsageUsed across industries for strategic oversight of data migration initiatives.Commonly employed in organizations executing specific data migration tasks.

The main difference is that the Data Migration Director focuses on strategic oversight and leadership of multiple migration projects, while the Data Migration Manager handles the operational execution and management of individual migration efforts.

What are the key skills and qualifications needed to thrive as a Data Migration Director, and why are they important?

To thrive as a Data Migration Director, you need deep expertise in database management, data architecture, and project leadership, often supported by a degree in computer science or IT and significant experience in large-scale data migrations. Familiarity with ETL tools, cloud platforms (such as AWS or Azure), and certifications like PMP or AWS Certified Solutions Architect are typically required. Strong communication, problem-solving, and stakeholder management skills set exceptional candidates apart in this role. These competencies ensure seamless data transitions, minimize business disruption, and drive successful project delivery in complex organizational environments.

What does a Data Migration Director do?

A Data Migration Director is responsible for overseeing the planning, execution, and management of data migration projects within an organization. This involves ensuring that data is accurately and securely transferred from one system or storage environment to another, often during system upgrades or mergers. The director coordinates teams, manages risk, sets timelines, and ensures compliance with data governance and security standards. Their role is crucial in minimizing disruptions to business operations and ensuring the integrity and confidentiality of the data throughout the migration process.

What are some common challenges faced by a Data Migration Director during large-scale data transitions, and how can they be addressed?

Data Migration Directors often encounter challenges such as data quality issues, system compatibility, and coordination across multiple teams. Ensuring data integrity throughout the migration process is critical and typically requires thorough planning, robust data validation procedures, and clear communication with stakeholders. Additionally, establishing strong project governance and engaging end-users early can help mitigate risks and smooth the transition. Proactively addressing these challenges helps ensure a successful migration and minimizes disruption to business operations.
What are the most commonly searched types of Data Migration jobs in Colorado? The most popular types of Data Migration jobs in Colorado are:
What are popular job titles related to Data Migration Director jobs in Colorado? For Data Migration Director jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Data Migration Director jobs in Colorado look for? The top searched job categories for Data Migration Director jobs in Colorado are:
What cities in Colorado are hiring for Data Migration Director jobs? Cities in Colorado with the most Data Migration Director job openings:
Data Migration Director jobs near you

Founding Director, AI Digital Strategy

Lynton

Denver, CO • On-site, Remote

Full-time

Posted 10 days ago

Job description

About Lynton
Lynton spent 16 years as a HubSpot partner: 2,000+ projects across 50+ industries. We know SaaS and agency work from the inside. When we saw what's coming with AI, we left HubSpot to build what comes next.
We build and run AI-native growth systems for mid-market companies: measurement-first websites, the sovereign stack that replaces legacy software, and AI agents we deploy to run the marketing, sales, and operations that used to live in hand-built workflows. The client owns the infrastructure, we operate the agents, and the whole system proves what it produces in revenue. We're AI-native in how we operate, and we're building products, solutions, and a whole new kind of company from the ground up.
Click here to apply directly on our website
We prioritize candidates who apply on our site. You do not need to submit a second application here.
The opportunity
You excel and thrive with this kind of work. You've driven measured results for clients: pipeline, bookings, revenue, not just deliverables. You've led the work, and probably the people. And you're done watching your agency treat AI as a pilot project while it rewrites how the whole business gets done.
Here, AI is the operating model. As our founding strategy leader, you own the strategy layer of every engagement: the assessment and roadmap phase that opens each project, the measurement framework that proves what the work produced, and the marketing-and-sales strategy that grows a launch into an ongoing engagement. You expand client accounts, including the AI agents we deploy to run their marketing, sales, and operations. You direct a fleet of AI agents through the production research and reporting, so your hours go to judgment and client leadership instead of throughput. You build the playbook and the frameworks from a blank page, and the team behind them as we grow.
A lot of that work is helping clients leave tools they have outgrown. You scope and lead migrations off legacy platforms (CRM, Marketing Automation, website CMS), and design the autonomous agents and AI automations that replace the workflows people used to hand-build. If you have spent years implementing and migrating client systems, this is where that experience compounds instead of repeating.
What you'll own
  • Strategy and blueprint phases. Lead the phase that opens every engagement: digital estate assessments, technology-stack assessments, stakeholder sessions, and phased roadmaps with budget allocation. You produce decision-ready packages leadership approves with confidence.
  • Systems adoption and migration. Lead clients off tools they have outgrown and onto AI-native infrastructure: scope the migration, design the autonomous agents and AI automations that replace brittle workflows, and own the cutover plan. You set the architecture and direct the build team and agents on execution.
  • Measurement frameworks that prove revenue. Run measurement-definition workshops with client teams: what counts as a lead, how revenue attributes across marketing and sales, which offers run web-only so redemption proves attribution. Establish baselines, define the dashboards, own the monthly story.
  • Marketing and sales strategy. Funnels, conversion, promotions and campaign systems, lifecycle and abandoned-intent recovery, and the handoffs where marketing becomes pipeline and pipeline becomes revenue. You define what the systems need to do; the build team makes them do it.
  • Search and AEO. Own organic and local SEO across multi-location businesses and answer-engine optimization. Our own migration grew AI-referred traffic about twelvefold, and you'll build the practice that produced it into a repeatable capability for clients.
  • Paid-media readiness and advisory. Own the tracking foundation and advise clients shifting budget to digital: ROAS targets, channel mix, what to spend where once the numbers are trustworthy. This is the expansion lane, where you grow launched projects into ongoing engagements.
  • Client leadership. Present to VPs and executives and earn the decision. Translate one plan into per-stakeholder outcomes across marketing, sales, search, and the executive team. Surface the next phase at the moment the data justifies it.
  • AI-first delivery. Direct our agent fleet on strategy work: audits, competitive research, content and funnel analysis, reporting. Manage the per-engagement AI inference budget like any other resource. Build reusable agent workflows so every engagement makes the next one faster.
  • Agents you deploy for clients. Beyond the internal fleet, you scope, build, and operate AI agents on the client's behalf: running their ads and campaigns, qualifying and routing leads, handling lifecycle and support, keeping their reporting current. These are recurring engagements you own and grow, not one-time projects.
Who you are
  • 8+ years driving measurable results for clients in digital marketing and sales strategy. The number you point to is revenue, pipeline, or bookings you moved, not deliverables you shipped.
  • Agency-grown. You've built your career inside agencies. You know the model from the inside (the pod, the billable hour, the retainer treadmill) and you can see where AI breaks it open.
  • You have worked inside clients' stacks. You have implemented, integrated, and migrated marketing and CRM systems for clients, so you know what breaks in a migration and how to de-risk a cutover. HubSpot ecosystem depth is a strong plus given our client base and history.
  • You've led. You've run a team, a client pod, or major engagements end to end and answered for the outcome. Or you're the senior everyone already treats as the lead, and you're ready for the title. Experience or clear potential both count.
  • Deep analytics fluency: GA4, GTM, conversion tracking, attribution modeling, dashboard design. You've built measurement frameworks, not just read the reports.
  • Local SEO depth, plus real curiosity about AEO and AI search. You can explain llms.txt to a VP and defend why it matters.
  • Frustrated in the right way. You're doing well where you are and could stay. What's pulling you is watching your agency treat AI as an experiment while you can see it changing the whole business.
  • Ready to build, not just manage. If you run a team today, you're ready to trade it for a blank page and an agent fleet, and build a function (eventually a cross-functional agency team) from the ground floor.
  • AI-first in practice. You already work with AI agents or LLM-driven workflows day to day. You can spec a task, judge the output, and improve the loop. Directing agents through the production work is the appeal, not the threat.
Bonus
  • Hands-on paid-media management
  • Booking or e-commerce funnel optimization
  • RevOps or CRM/martech implementation and migration experience
  • Replacing legacy workflow automation with code or AI agents
  • Familiarity with modern open-source web stacks

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