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Feasibility Manager Jobs in Indiana (NOW HIRING)

... feasibility * Ensure resource availability and allocation * Develop a detailed project plan to ... Use appropriate verification techniques to manage changes in project scope, schedule, and costs

Support resource planning and project feasibility assessments. Required Qualifications * 5+ years of project or program management experience in a technical, engineering, manufacturing, or industrial ...

R&D Manager

Columbus, IN · On-site

$90K - $100K/yr

Prioritize projects based on business needs, feasibility, and resources. Qualifications * Bachelor ... Experience managing multiple projects simultaneously. *This is a complete list of all desired ...

R&D Manager

Columbus, IN · On-site

$90K - $100K/yr

Prioritize projects based on business needs, feasibility, and resources. Qualifications * Bachelor ... Experience managing multiple projects simultaneously. *This is a complete list of all desired ...

Showing results 21-40

Feasibility Manager information

See Indiana salary details

$27.1K

$59.6K

$108K

How much do feasibility manager jobs pay per year?

As of Aug 16, 2026, the average yearly pay for feasibility manager in Indiana is $59,626.00, according to ZipRecruiter salary data. Most workers in this role earn between $42,800.00 and $65,700.00 per year, depending on experience, location, and employer.

What is a feasibility manager?

Feasibility Managers are professionals responsible for assessing the practicality and potential success of proposed projects, typically within industries such as construction, pharmaceuticals, or clinical research. They analyze various factors like costs, timelines, resources, risks, and regulatory requirements to determine if a project should move forward. Their work often involves conducting thorough feasibility studies, collaborating with cross-functional teams, and preparing detailed reports for decision-makers. By providing objective assessments, Feasibility Managers help organizations make informed choices and minimize risks associated with new initiatives.

What are the key skills and qualifications needed to thrive as a feasibility manager, and why are they important?

To thrive as a Feasibility Manager, you need expertise in data analysis, project management, and a strong understanding of clinical trial processes, often supported by a degree in life sciences or a related field. Familiarity with clinical trial management systems (CTMS), data visualization tools, and regulatory databases is typically required. Excellent communication, problem-solving, and stakeholder management skills set standout professionals apart in this role. These skills and qualities are crucial for ensuring accurate feasibility assessments, efficient study planning, and successful project delivery in the clinical research industry.

How does a feasibility manager typically collaborate with cross-functional teams during the early stages of a clinical trial?

A Feasibility Manager works closely with clinical operations, medical affairs, regulatory, and data management teams to evaluate potential study sites, assess patient recruitment capabilities, and ensure protocol suitability. This collaboration involves gathering insights from each department, coordinating feasibility questionnaires, and synthesizing input to support site selection and strategy development. Effective communication and project management skills are essential, as the Feasibility Manager ensures alignment across stakeholders to set the trial up for success.

What is the difference between Feasibility Manager vs Project Coordinator?

AspectFeasibility ManagerProject Coordinator
Required credentialsBachelor's degree in engineering, business, or related field; often certifications in project managementBachelor's degree in business, management, or related field; certifications like CAPM are common
Work environmentTypically in planning, analysis, and decision-making phases within project teamsSupports project execution, scheduling, and communication across teams
Employer and industry usageUsed in construction, engineering, and large-scale project industriesCommon across various industries including IT, construction, and corporate sectors

The Feasibility Manager focuses on assessing project viability and strategic planning, while the Project Coordinator manages day-to-day project activities and communication. Both roles require strong organizational skills but serve different functions within project management.

What are the most commonly searched types of Feasibility jobs in Indiana?

The most popular types of Feasibility jobs in Indiana are:

What cities in Indiana are hiring for Feasibility Manager jobs?

Cities in Indiana with the most Feasibility Manager job openings:

Infographic showing various Feasibility Manager job openings in Indiana as of August 2026, with employment types broken down into 100% Full Time. Highlights an 90% In-person, and 10% Remote job distribution, with an average salary of $59,626 per year, or $28.7 per hour.

IT Sr. Analyst, Product Manager

Patrick Industries Inc Corp

Elkhart, IN • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 days ago


Patrick Industries rating

6.6

Company rating: 6.6 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

456th of 540 rated manufacturers


Job description

Patrick Industries, a publicly traded company headquartered in Elkhart, Indiana, invites you to join a team of dedicated Team Members who are passionate about delivering high-quality products and exceptional customer service. As a leading solutions provider serving a diverse range of markets across the United States, our commitment to innovation, quality, and sustainability has positioned us as a high growth, diversified and empowered Team of more than 10,000! Your adventure awaits!

The IT Sr. Analyst, AI Product Manager is responsible for owning the enterprise AI use case portfolio, roadmap, and prioritization process across Patrick Industries. This role serves as the primary connection between business stakeholders and the Agile AI Factory, ensuring AI initiatives are aligned to business objectives, governance standards, and measurable value outcomes. The AI Product Manager drives use case intake, business case development, stakeholder alignment, prioritization decisions, delivery oversight, and value realization while partnering closely with engineering teams to translate business needs into scalable AI-enabled solutions.

Responsibilities & Duties:

AI Product Strategy & Roadmap Management

  • Own the enterprise AI use case roadmap, including prioritization, sequencing, scope management, and investment decisions
  • Define and maintain the AI use case portfolio aligned with business objectives and strategic priorities
  • Evaluate, prioritize, defer, reshape, or discontinue use cases based on business value, feasibility, risk, and resource requirements
  • Establish success criteria, business outcomes, and acceptance requirements for AI initiatives
  • Maintain transparency around roadmap decisions and prioritization rationale with stakeholders and leadership
  • Ensure AI initiatives support Patrick's long-term digital transformation strategy

AI Intake, Governance & Portfolio Management

  • Lead intake and qualification of new AI use case requests across the organization
  • Develop business cases, value assessments, sponsorship alignment, and prioritization recommendations
  • Ensure AI initiatives follow established governance, approval, and funding processes
  • Support AI Steering Committee activities through portfolio reviews, status reporting, and decision support
  • Track portfolio health, delivery progress, and investment performance across active initiatives
  • Maintain governance documentation, decision records, and value realization tracking

 

Stakeholder Engagement & Communication

  • Serve as the primary liaison between business stakeholders and AI delivery teams
  • Partner with operations, supply chain, manufacturing, finance, HR, and corporate functions to identify AI opportunities
  • Translate business challenges into clearly defined product requirements and delivery priorities
  • Present roadmap updates, business cases, portfolio performance, and value realization metrics to leadership
  • Facilitate stakeholder alignment, decision-making, and issue resolution throughout the delivery lifecycle
  • Develop executive communications, requirements documents, business cases, and decision memorandums

Agile Delivery & Product Execution

  • Partner with AI Platform Engineers and delivery teams to ensure requirements are clear, testable, and actionable
  • Participate in sprint planning, backlog refinement, reviews, retrospectives, and other Agile ceremonies
  • Define user stories, acceptance criteria, and product requirements that support successful delivery
  • Coordinate release planning and deployment readiness with technical and business stakeholders
  • Ensure product requirements align with enterprise DevOps, testing, and deployment practices
  • Monitor delivery progress and proactively address risks, dependencies, and resource constraints

Technical Validation & Feasibility Assessment

  • Build proofs of concept, prototypes, and AI agents to validate business requirements and solution feasibility
  • Assess technical trade-offs including cost, scalability, data readiness, reliability, and performance impacts
  • Evaluate solution viability prior to engineering resource commitments
  • Review data, system architecture, and technical artifacts to support prioritization decisions
  • Identify dependencies, gaps, and foundational requirements necessary for successful implementation
  • Partner with engineering teams to ensure proposed solutions align with enterprise architecture standards

Value Realization & Performance Management

  • Define measurable business outcomes and success metrics for every AI initiative
  • Track realized value against approved business cases and investment objectives
  • Partner with engineering and business stakeholders to evaluate solution effectiveness and quality
  • Monitor adoption, business impact, and operational outcomes following deployment
  • Develop portfolio reporting and value realization dashboards for leadership review
  • Capture lessons learned and continuously improve prioritization and delivery practices

AI Strategy Execution

  • Drive execution of AI initiatives supporting enterprise growth, operational excellence, and digital transformation objectives
  • Support AI capabilities across customer experience, operations, supply chain, aftermarket growth, and back-office optimization
  • Identify opportunities to expand AI adoption across business units and functional areas
  • Partner with AI & Data leadership to advance enterprise AI maturity and capabilities
  • Promote responsible AI adoption through governance, communication, and stakeholder engagement

Qualifications and Skills:

  • Bachelor's degree in Business, Information Technology, Computer Science, Engineering, or related field; equivalent experience may be considered
  • 4-7 years of experience in product management, business analysis, software delivery, AI solutions, or related disciplines
  • Demonstrated experience owning product roadmaps, portfolios, or prioritization decisions
  • Strong written and verbal communication skills with the ability to influence technical and business stakeholders
  • Experience building business cases, defining requirements, and managing stakeholder relationships
  • Hands-on experience with AI, machine learning, automation, agent-based solutions, or AI prototyping
  • Experience with Agile methodologies including Scrum, Kanban, backlog management, and sprint planning
  • Understanding of software development lifecycle, DevOps, testing, and release management practices
  • Working knowledge of system architecture, AI solution design, and technical feasibility assessment
  • Experience with AI coding assistants, prompt engineering, and AI solution prototyping
  • Familiarity with Python, SQL, and JavaScript/TypeScript concepts
  • Familiarity with Microsoft Azure, Microsoft Fabric, Power BI, Azure DevOps, Microsoft Foundry, and Dynamics 365 environments
  • Ability to query and analyze data to validate assumptions and measure outcomes
  • Experience in manufacturing, operations, supply chain, finance, HR, or other enterprise business functions preferred
  • Experience in decentralized, multi-site, or acquisition-driven environments preferred
  • Experience supporting governance committees, portfolio reviews, and executive reporting preferred
  • Exposure to C#, Rust, or KQL is a plus

 

Benefits Include:

Health, Dental, Vision, Life, Insurances, Paid Vacation, 401K Match, Holidays, Health Club and Tuition Reimbursement

At Patrick Industries, BETTER Together is our commitment to being our best while striving to bring out the best in one another as we join forces Individually, as Teams, with our Business Units, with our Customers, our Communities and within our entire Patrick family.

Patrick is an Equal Opportunity Employer.


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