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Data Platform Manager Jobs in Springfield, MO (NOW HIRING)

Define and own the product vision, roadmap, and backlog for AEM-based digital platforms ... Strong analytical skills with the ability to interpret data and drive decisions. * Excellent ...

Review, interpret, and approve analytical data; verify that results meet quality and accuracy ... Familiarity with diagnostic and rapid detection platforms such as BAX, GeneUP, VIDAS, VITEK, IQ ...

Review, interpret, and approve analytical data; verify that results meet quality and accuracy ... Familiarity with diagnostic and rapid detection platforms such as BAX, GeneUP, VIDAS, VITEK, IQ ...

Review, interpret, and approve analytical data; verify that results meet quality and accuracy ... Familiarity with diagnostic and rapid detection platforms such as BAX, GeneUP, VIDAS, VITEK, IQ ...

Nurse Care Manager

Springfield, MO · Remote

$40 - $60/hr

Our platform offers an engaging blend of flexibility and challenge: you'll work closely with ... data analysis and visualization. Your work directly contributes to refining intelligent systems ...

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Data Platform Manager information

See Springfield, MO salary details

$28.2K

$88.4K

$156.5K

How much do data platform manager jobs pay per year?

As of May 29, 2026, the average yearly pay for data platform manager in Springfield, MO is $88,366.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,000.00 and $114,200.00 per year, depending on experience, location, and employer.

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

To thrive as a Data Platform Manager, you need expertise in data architecture, database management, and analytics, typically supported by a degree in computer science or a related field. Familiarity with data warehousing tools, cloud platforms (such as AWS, Azure, or Google Cloud), and certifications like AWS Certified Data Analytics are commonly required. Strong leadership, problem-solving skills, and effective communication enable you to manage teams and coordinate with stakeholders. These skills ensure robust, scalable data infrastructures that support business intelligence and strategic decision-making.

What are some common challenges faced by Data Platform Managers when aligning data strategy with evolving business needs?

Data Platform Managers often face the challenge of ensuring that the data infrastructure can adapt quickly to shifting business priorities and emerging technologies. Balancing the needs of various stakeholders—such as data analysts, engineers, and business leaders—while maintaining data quality, security, and scalability requires strong communication and project management skills. Additionally, keeping the platform up-to-date with new tools and compliance requirements, while managing resource constraints, is a recurring aspect of the role. Successfully navigating these challenges helps the business leverage data as a strategic asset.

What is a Data Platform Manager?

A Data Platform Manager is a professional responsible for overseeing the development, maintenance, and operation of an organization's data infrastructure. They manage data storage, processing, and integration solutions to ensure data is accessible, secure, and reliable for business needs. Their role often involves collaborating with data engineers, analysts, and IT teams to implement best practices and support data-driven decision-making. Additionally, they may oversee cloud data platforms, manage data governance, and ensure compliance with data privacy regulations.

What is the difference between Data Platform Manager vs Data Engineer?

AspectData Platform ManagerData Engineer
Primary FocusOversees data platform strategy, architecture, and team managementBuilds, develops, and maintains data pipelines and infrastructure
Required SkillsData architecture, leadership, project managementProgramming, ETL development, database management
CertificationsCloud certifications (AWS, Azure), data management certificationsSQL, cloud platform certifications, programming certifications
Work EnvironmentCollaborates with data teams, IT, and business unitsHands-on technical work in data engineering teams

The Data Platform Manager focuses on overseeing the data platform's overall strategy and managing teams, while the Data Engineer is responsible for the technical development and maintenance of data pipelines. Both roles require technical skills and certifications, but the manager role emphasizes leadership and strategic planning, whereas the engineer role emphasizes technical execution.

What job categories do people searching Data Platform Manager jobs in Springfield, MO look for? The top searched job categories for Data Platform Manager jobs in Springfield, MO are:
AEM Product Manager

AEM Product Manager

PATTERNS

Springfield, MO • On-site

Contractor

Posted 28 days ago


Job description

Job Summary

We are seeking an experienced AEM Product Manager to lead the strategy, roadmap, and delivery of digital experience solutions built on Adobe Experience Manager (AEM) and the broader Adobe Experience Cloud ecosystem. The ideal candidate will bridge business needs and technical execution, driving scalable, customer-centric digital experiences across channels.

Key Responsibilities

  • Define and own the product vision, roadmap, and backlog for AEM-based digital platforms.
  • Collaborate with stakeholders, business teams, and marketing to gather and prioritize requirements aligned with business goals.
  • Drive end-to-end product lifecycle management for AEM Sites, Assets (DAM), and integrations within Adobe Experience Cloud.
  • Translate business requirements, wireframes, and user journeys into clear product features and technical requirements.
  • Partner with engineering teams to ensure scalable, high-performance AEM implementations.
  • Work closely with UX/UI teams to deliver seamless and personalized customer experiences.
  • Manage integrations with Adobe Marketing Cloud tools such as Adobe Analytics, Adobe Target, Adobe Campaign, and Audience Manager.
  • Ensure effective use of personalization, content management, and digital asset management capabilities.
  • Monitor product performance, KPIs, and user behavior; continuously optimize the platform.
  • Drive Agile ceremonies (sprint planning, backlog grooming, retrospectives) and ensure timely delivery.
  • Lead cross-functional coordination across global teams (onshore/offshore).
  • Stay updated with Adobe Experience Cloud innovations and recommend adoption strategies.

Required Skills & Experience

  • 5+ years of experience as a Product Manager or Product Owner in digital platforms.
  • Strong experience with Adobe Experience Manager (AEM 6.x / AEM as a Cloud Service).
  • Hands-on understanding of Adobe Experience Cloud / Adobe Marketing Cloud ecosystem:
    • Adobe Analytics
    • Adobe Target
    • Adobe Campaign
    • Adobe Audience Manager / CDP
  • Experience managing AEM Sites and Digital Asset Management (DAM) solutions.
  • Solid understanding of web technologies (HTML, CSS, JavaScript) and AEM architecture (Sling, JCR, OSGi) – not for coding, but for effective collaboration.
  • Experience working with REST APIs and third-party integrations.
  • Proven experience in defining product roadmaps, user stories, and acceptance criteria.
  • Experience with Agile/Scrum methodologies (SAFe Agile is a plus).
  • Familiarity with tools like JIRA, Confluence, and product management tools.
  • Strong analytical skills with the ability to interpret data and drive decisions.
  • Excellent stakeholder management and communication skills.

Preferred Qualifications

  • Experience with AEM as a Cloud Service (AEMaaCS) and Adobe Managed Services.
  • Exposure to cloud platforms such as AWS or Azure.
  • Experience in personalization, customer journey orchestration, and omnichannel marketing.
  • Understanding of SEO, web performance, and digital analytics.
  • Certification in Adobe Experience Cloud or Agile frameworks is a plus.

Key Competencies

  • Strategic thinking with strong business acumen
  • Customer-centric mindset
  • Strong collaboration and leadership skills
  • Ability to translate technical concepts into business language
  • Data-driven decision-making

Nice to Have

  • Experience working in large-scale enterprise digital transformation programs
  • Knowledge of headless CMS and composable architecture
  • Exposure to CI/CD and DevOps practices