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Data Modernization Jobs in Utah (NOW HIRING)

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Director of IT Operations

Draper, UT · On-site +1

Lead cloud transformation, infrastructure modernization, and data center migration initiatives while balancing reliability, scalability, security, and cost. * Define and evolve infrastructure ...

Tooele County

Deputy Recorder

Tooele, UT · On-site

Participate in incident response steps as assigned (e.g., suspected fraud, sensitive data exposure, access concerns). Technology Operations and Modernization Workflow Ownership: * Operate and support ...

Tooele County

Deputy Recorder

Tooele, UT · On-site

$20.82 - $24.57/hr

Participate in incident response steps as assigned (e.g., suspected fraud, sensitive data exposure, access concerns). Technology Operations and Modernization Workflow Ownership: * Operate and support ...

Tooele County

Deputy Recorder

Tooele, UT · On-site

$20.82 - $24.57/hr

Participate in incident response steps as assigned (e.g., suspected fraud, sensitive data exposure, access concerns). Technology Operations and Modernization Workflow Ownership: * Operate and support ...

SAIC

Nuclear Surety Engineer

Hill Air Force Base, UT

$90K - $108K/yr

Modernization efforts involve the design, certification, and deployment of advanced nuclear-capable ... Analyze system designs, operational concepts, and performance data to assess adherence to nuclear ...

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All JobsData Modernization JobsData Modernization Jobs in Utah

Data Modernization information

What jobs pay $500,000 a year in the US?

In the field of data modernization, senior roles such as Chief Data Officer, Data Science Director, or Vice President of Data often have salaries reaching or exceeding $500,000 annually, especially in large organizations. These positions typically require extensive experience, advanced skills in data architecture, analytics, and leadership, and may include performance bonuses and stock options.

What is the difference between Data Modernization vs Data Analyst?

AspectData ModernizationData Analyst
Primary FocusUpgrading and transforming data systems and infrastructureAnalyzing data to generate insights and reports
Skills RequiredData architecture, cloud platforms, database managementStatistical analysis, data visualization, SQL
Work EnvironmentIT departments, data engineering teamsBusiness units, analytics teams
CertificationsCloud certifications, data management certificationsData analysis, visualization certifications

Data Modernization involves upgrading data systems and infrastructure to improve efficiency and scalability, often requiring technical expertise in data architecture and cloud platforms. In contrast, Data Analysts focus on interpreting data, creating reports, and providing insights to support business decisions. While both roles work with data, their core responsibilities and skill sets differ significantly.

What jobs make $1,000,000 a year?

In the field of data modernization, high-paying roles such as Chief Data Officer, Data Science Director, or Chief Technology Officer can earn over $1 million annually, especially in large organizations or tech companies. These positions typically require extensive experience, advanced skills in data management, leadership, and often involve overseeing large teams and strategic initiatives.

What is data modernization?

Data modernization is the process of updating and transforming legacy data systems and infrastructure to more current, scalable, and efficient technologies. It often involves migrating data to cloud platforms, implementing new data management tools, and adopting modern analytics and automation techniques to improve data accessibility and decision-making.

What are some common challenges faced by professionals working in Data Modernization projects?

Professionals in Data Modernization often encounter challenges such as integrating legacy systems with modern cloud-based solutions, ensuring data quality during migration, and managing data security and compliance. Additionally, they may need to collaborate closely with cross-functional teams to align business goals with technical requirements. Adaptability and strong communication skills are important, as priorities can shift rapidly in response to evolving business needs and technology updates.

What are the key skills and qualifications needed to thrive in Data Modernization, and why are they important?

To thrive in Data Modernization, you need strong expertise in data architecture, cloud platforms, and data migration, often supported by a degree in computer science or information systems. Familiarity with tools like Azure, AWS, Snowflake, ETL frameworks, and certifications such as AWS Certified Data Analytics or Microsoft Azure Data Engineer are commonly required. Excellent problem-solving, project management, and communication skills help professionals effectively lead transformation initiatives and collaborate with stakeholders. These skills are crucial for ensuring seamless migration, maximizing data value, and driving innovation within organizations.

Which 3 jobs will survive AI?

Data modernization professionals, data analysts, and database administrators are likely to continue thriving as AI automates routine tasks but still requires human oversight, interpretation, and strategic decision-making. These roles involve managing complex data systems, ensuring data quality, and applying domain expertise that AI cannot fully replicate. Skills in data governance, programming, and understanding AI tools will enhance job security in this field.
What are popular job titles related to Data Modernization jobs in Utah? For Data Modernization jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Data Modernization jobs in Utah look for? The top searched job categories for Data Modernization jobs in Utah are:
Data Modernization jobs near you
Infographic showing various Data Modernization job openings in Utah as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
AI Technical Product Director

AI Technical Product Director

AllenComm

Salt Lake City, UT • On-site

Full-time

Posted 26 days ago

Job description

Location: HybridReports to: CTOInterfaces with: CEO, COO, Professional Services, Engineering, Sales, Marketing, and VendorsWhy AllenComm
With over 40 years of excellence in corporate learning innovation, AllenComm has helped Fortune 500 and 1000 organizations transform employee development through award-winning instructional design and technology. Today, we are redefining enterprise learning through AI-driven modernization, strategic partnerships, and data-powered personalization. As our AI Product Director, you will be at the forefront of transformation bridging legacy systems, new technology, and client-centered innovation.About the Role
AllenComm is seeking a hands-on AI Technical Product Director to lead the transformation of our HR and Learning & Development (L&D) solutions through AI strategy, implementation, and partnership development. This role sits at the intersection of product innovation, technology integration, and go-to-market enablement.
You'll drive modernization of AllenComm's platforms, guide adoption of AI technologies, and collaborate across teams to turn our professional services into scalable, AI-powered enterprise solutions.
The ideal candidate blends strategic vision with operational execution-comfortable crafting product roadmaps, experimenting with AI tools, and coordinating across internal and external stakeholders to deliver measurable business value.Key Responsibilities
AI Transformation & Legacy Modernization
• Lead the evolution of AllenComm's legacy systems into scalable, AI-enabled platforms.
• Pilot and implement Microsoft's AI technologies (Copilot, Azure OpenAI, Power Platform) into existing systems, workflows, and client solutions.
• Establish frameworks for AI governance, data ethics, compliance, and performance monitoring of AI systems.
• Collaborate with engineering and operations to ensure secure, efficient, and sustainable AI infrastructure.
Market, Sales, and Competitive Intelligence
• Partner with Sales, Marketing, and Client Strategy to translate client feedback, trends, and analytics into actionable product insights.
• Conduct ongoing competitive research to identify differentiators, white space opportunities, and potential strategic partners.
• Use market and performance data to shape roadmap priorities, value propositions, and pricing models.
Partnership Management & Ecosystem Development
• Develop and manage partnerships with leading AI technology providers and Microsoft ecosystem partners.
• Evaluate and onboard vendors or tools that complement AllenComm's AI product portfolio.
• Act as the primary liaison with external AI partners to ensure alignment on product vision and co-development opportunities.
Product Leadership & Delivery
• Define and communicate a clear product vision, roadmap, and success metrics for AI-driven HR/L&D solutions.
• Lead discovery, MVP design, and iterative releases with internal teams and external vendors.
• Collaborate cross-functionally to translate services into productized, AI-driven features and solutions that expand AllenComm's market reach.
• Report regularly on progress, adoption, and business impact directly to executive leadership.What You'll Bring
• 6-8 years of product management experience, with at least 2 years in AI/ML or enterprise SaaS.
• Proven experience migrating legacy systems or platforms to AI-driven architectures.
• Familiarity with Microsoft AI technologies (Azure OpenAI, Copilot Studio, Power Platform).
• Background in HR tech, learning technologies and workforce enablement platforms .
• Experience with vendor management, partnership development, and cross-functional collaboration.
• Strategic and hands-on leadership style-comfortable moving from vision to execution.
• Excellent communication and executive presentation skills.

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