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Hyperion Developer Jobs Near Me

Idealforce

Cognos Architect (37394)

Columbus, OH · On-site

The client is planning a 1,500-query user implementation, with about 100 report developers. In the ... Hyperion/Brio reports to Cognos. Skill sets required: • Three years of experience in Cognos ...

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As of Jul 7, 2026, the average hourly pay for hyperion developer in the United States is $68.61, according to ZipRecruiter salary data. Most workers in this role earn between $52.88 and $84.86 per hour, depending on experience, location, and employer.
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A map of the United States highlighting the number of Hyperion Developer job openings by state according to ZipRecruiter. The image is accompanied by a detailed chart listing the number of Hyperion Developer job openings in each state, with California having the most at 2 and Hawaii the least at 0.
Director, AI Solutions & Delivery

Director, AI Solutions & Delivery

Hyperion Materials & Technologies

Dublin, OH • On-site

$204K/yr

Full-time

Posted 4 days ago

Hyperion Materials & Technologies rating

7.0

Company rating: 7.0 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

Job description

Summary
The Director, AI Solutions & Delivery leads Hyperion’s enterprise AI portfolio, ensuring AI initiatives align with business priorities and deliver measurable value. This role oversees AI governance, solution architecture, technology selection, and delivery, while guiding teams responsible for AI engineering, platform administration, and solution implementation. The Director drives the secure, scalable, and effective adoption of AI capabilities, enabling business impact, operational efficiency, and long-term value realization. This position will be hybrid based in our Dublin, OH office. 
Essential Duties and Responsibilities

AI Strategy, Portfolio & Demand Management

  • Establish and manage the enterprise AI intake and evaluation framework.
  • Build and maintain a centralized inventory of AI opportunities and use cases.
  • Develop prioritization methodologies based on business value, feasibility, risk, and strategic alignment.
  • Partner with business leaders to identify opportunities for AI-driven transformation.
  • Create and maintain the enterprise AI roadmap.
  • Track value realization and business outcomes across the AI portfolio.
  • Present portfolio recommendations and investment priorities to executive leadership.

AI Solution Design & Architecture

  • Lead assessment of business problems and determine the most appropriate AI solution approach.
  • Evaluate and recommend AI technologies, platforms, models, and vendors.
  • Translate business requirements into scalable AI solution architectures.
  • Define enterprise standards for:
    • Generative AI
    • Agentic AI
    • Machine Learning
    • Intelligent Automation
    • Knowledge Management
    • AI-enabled workflows

AI Delivery Leadership

  • Own end-to-end delivery of enterprise AI initiatives.
  • Lead AI solution planning, execution, and implementation activities.
  • Ensure AI projects meet business objectives, timelines, budgets, and quality standards.
  • Define delivery methodologies and lifecycle processes for AI projects.
  • Establish repeatable frameworks for scaling AI solutions across business functions.

AI Engineering & Platform Leadership

  • Lead and develop AI Engineers, Solution Architects, and AI Platform Administrators.
  • Establish engineering standards and development practices.
  • Oversee enterprise AI platform operations and governance.
  • Ensure secure and scalable deployment of AI technologies.

AI Governance, Security, Compliance & Risk Management

  • Partner with Information Security and Legal to ensure AI deployments meet security, privacy, and regulatory requirements
  • Partner with Information Security & Legal to establish enterprise standards and governance processes for AI solutions.
  • Ensure AI solutions comply with security, privacy, legal, and regulatory requirements.
  • Define responsible AI principles and implementation standards.
  • Lead AI architecture review and governance boards.
  • Assess technical and operational risks associated with AI initiatives.
  • Implement controls for monitoring, auditing, and managing AI solutions.
  • Assess and mitigate AI-related risks, including data leakage, IP exposure, and model misuse.

Vendor & Technology Management

  • Evaluate emerging AI technologies and market offerings.
  • Manage relationships with AI vendors and strategic partners.
  • Assess platform capabilities and roadmap alignment.
  • Support licensing, budgeting, and investment decisions.
  • Develop technology recommendations for future AI capabilities.

Measurement & Continuous Improvement

  • Define KPIs to measure AI adoption, value realization, productivity impact, and risk.
  • Monitor usage trends and performance, iterating on configuration and strategy.
  • Stay current with emerging generative AI technologies and assess their applicability to the organization.
Qualifications

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily.  The requirements listed below are representative of the knowledge, skill and/or ability required.  Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.

Education and/or Work Experience
  • Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field (Master’s preferred).
  • 10+ years of experience leading technology, analytics, digital transformation, or enterprise application initiatives.
  • 5+ years leading solution architecture, product delivery, or enterprise technology programs.
  • 3+ years of experience designing and implementing AI, machine learning, or generative AI solutions.
  • Experience building and managing technology portfolios and investment roadmaps.
Technical Skills/Physical Requirements
  • Proven experience leading cross-functional teams and enterprise initiatives.
  • Experience translating business strategy into technology solutions.
  • Demonstrated success managing technical delivery teams.
  • Direct experience deploying ChatGPT, Claude, or similar enterprise generative AI platforms.
  • Travel - 15% required

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