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Iteration Manager Jobs in Ohio (NOW HIRING)

USM

Mainframe Developer-----Need GC and USC

Columbus, OH · On-site

$47.25 - $60.75/hr

... M counselling, Product Engineering, Business Intelligence, Data Management, SOA, BPM, Data ... to iteration. "Practitioners of the IT Application Development profession primarily focus on ...

Northwoods

AI Product Manager

Dublin, OH · On-site

The Product Manager must be fluent in current AI tools, capabilities, limitations, and ... Gather feedback before, during, and after releases to inform iteration and continuous improvement.

Northwoods

AI Product Manager

Dublin, OH · On-site

The Product Manager must be fluent in current AI tools, capabilities, limitations, and ... Gather feedback before, during, and after releases to inform iteration and continuous improvement.

Northwoods

AI Product Manager

Dublin, OH · On-site

The Product Manager must be fluent in current AI tools, capabilities, limitations, and ... Gather feedback before, during, and after releases to inform iteration and continuous improvement.

Transcend

Partner, Product and UX Lead

Continental, OH · On-site +1

You've led/and or supported end-to-end product design and product management, from early research and discovery through concepting, prototyping, iteration, and launch-often in complex or ambiguous ...

Brooksource

Technical Program Manager

Columbus, OH

$120K - $156K/yr

Senior Program Manager - Digital Platform / Enterprise Systems Job Summary The Senior Program ... Facilitate Go/No-Go decisions, kickoff sessions, iteration planning, and dependency resolution ...

Matic

Lead Product Manager

Cleveland, OH · On-site +1

Lead Product Manager, CRM We're looking for a strategic and execution-focused Lead Product Manager ... Lead cross-functional teams through discovery, delivery, and iteration of features that improve ...

Matic

Lead Product Manager

Columbus, OH · On-site

Lead Product Manager, CRM We're looking for a strategic and execution-focused Lead Product Manager ... Lead cross-functional teams through discovery, delivery, and iteration of features that improve ...

Matic

Lead Product Manager

Louisville, OH · On-site +1

Lead Product Manager, CRM We're looking for a strategic and execution-focused Lead Product Manager ... Lead cross-functional teams through discovery, delivery, and iteration of features that improve ...

Matic

Lead Product Manager

Columbus, OH · On-site +1

Lead Product Manager, CRM We're looking for a strategic and execution-focused Lead Product Manager ... Lead cross-functional teams through discovery, delivery, and iteration of features that improve ...

E*Pro, Inc.

IOS Developer

Columbus, OH

$50 - $68.75/hr

... iteration reviews and planning * Enthusiasm for automated testing * Experience with unit testing frameworks * Experience with source control management

Matic

Lead Product Manager

Columbus, OH · On-site +1

Lead Product Manager, CRM We're looking for a strategic and execution-focused Lead Product Manager ... Lead cross-functional teams through discovery, delivery, and iteration of features that improve ...

Matic

Lead Product Manager

Cincinnati, OH · On-site +1

Lead Product Manager, CRM We're looking for a strategic and execution-focused Lead Product Manager ... Lead cross-functional teams through discovery, delivery, and iteration of features that improve ...

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All JobsIteration JobsIteration Manager JobsIteration Manager Jobs in Ohio

Iteration Manager information

See Ohio salary details

$8

$25

$51

How much do iteration manager jobs pay per hour?

As of Jun 12, 2026, the average hourly pay for iteration manager in Ohio is $25.05, according to ZipRecruiter salary data. Most workers in this role earn between $16.44 and $31.06 per hour, depending on experience, location, and employer.

What is the difference between iteration manager and Scrum Master?

An iteration manager oversees the planning, execution, and delivery of iterative work cycles, focusing on process efficiency and team coordination. A Scrum Master facilitates Scrum practices, removes impediments, and supports the team in following Agile principles, often acting as a servant leader. While both roles promote Agile methodologies, the iteration manager emphasizes cycle management, whereas the Scrum Master emphasizes Scrum process adherence and team facilitation.

What are the key skills and qualifications needed to thrive as an Iteration Manager, and why are they important?

To thrive as an Iteration Manager, you need a solid understanding of Agile methodologies, project management principles, and experience facilitating team processes, often backed by a degree in IT or business and relevant Agile certifications such as Scrum Master or SAFe. Familiarity with tools like Jira, Confluence, and other Agile project management systems is typically required. Strong communication, facilitation, and conflict resolution skills help drive team collaboration and continuous improvement. These capabilities are vital for ensuring that teams deliver value efficiently, adapt to change, and maintain high performance throughout project cycles.

What are Iteration Managers?

Iteration Managers are professionals who facilitate and oversee agile development processes within a team, ensuring that each iteration or sprint runs smoothly. They help coordinate tasks, remove obstacles, and support team members in achieving their goals. Unlike traditional project managers, Iteration Managers focus on enabling the team rather than directing it, promoting collaboration and continuous improvement. Their role is essential for maintaining momentum, transparency, and delivering quality outcomes in agile environments.

Which jobs will AI not replace?

Iteration Managers oversee processes and team coordination, roles that require complex decision-making, creativity, and interpersonal skills, which AI cannot fully replicate. Jobs involving strategic planning, leadership, and nuanced human interaction are less likely to be replaced by AI. These roles often require adaptability and emotional intelligence that AI tools currently lack.

What is the difference between Iteration Manager vs Scrum Master?

AspectIteration ManagerScrum Master
Primary FocusOversees multiple iterations and manages overall project flowFacilitates Scrum processes within a team
CertificationsAgile certifications, PMP often preferredCertified ScrumMaster (CSM), SAFe certifications common
Work EnvironmentProgram or project level, often in larger organizationsTeam level, Scrum teams in Agile environments
ResponsibilitiesCoordinate multiple teams, ensure iteration deliveryRemove impediments, facilitate Scrum events

While both roles support Agile practices, the Iteration Manager oversees multiple iterations across projects, focusing on overall delivery, whereas the Scrum Master concentrates on facilitating Scrum within a single team. The Iteration Manager has a broader scope, often in larger organizations, while the Scrum Master works closely with specific teams to implement Agile processes effectively.

How does an Iteration Manager typically facilitate collaboration between cross-functional teams during a sprint?

An Iteration Manager plays a central role in fostering collaboration by organizing and leading key agile ceremonies such as daily stand-ups, sprint planning, and retrospectives. They ensure that team members from different disciplines—such as developers, testers, and business analysts—communicate effectively and are aligned on goals and deliverables. By actively removing impediments and encouraging open dialogue, Iteration Managers help teams stay focused, address challenges quickly, and deliver value consistently throughout each sprint.

What does an iteration manager do?

An iteration manager oversees the planning, execution, and review of iterative development cycles, often called sprints, in agile project management. They coordinate team activities, ensure tasks are completed on time, and facilitate communication between team members to meet project goals efficiently.

What job makes $10,000 a month without a degree?

An Iteration Manager typically earns less than $10,000 a month without a degree, as this role often requires experience and relevant certifications. High-paying jobs that can reach this level without a degree include sales, real estate, or specialized trades like certain tech or construction roles, but they usually depend on skills, performance, and industry demand.
What are popular job titles related to Iteration Manager jobs in Ohio? For Iteration Manager jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Iteration Manager jobs in Ohio look for? The top searched job categories for Iteration Manager jobs in Ohio are:
Iteration Manager jobs near you
Manager - GenAI Full Stack Developer

Manager - GenAI Full Stack Developer

Deloitte

Cincinnati, OH

Other

Posted 3 days ago

Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

58th of 138 rated financial services

Job description

Deloitte professionals help organizations navigate business risks and opportunities across financial, operational, information technology (IT), and regulatory areas. In this Manager role, you will lead teams delivering end-to-end (full stack) Generative AI (GenAI) solutions-including Retrieval-Augmented Generation (RAG) and agentic AI-from strategy and architecture through build, deployment, and adoption.

Recruiting for this role ends on May 31st, 2026


Work you'll do

  • Lead client discovery, requirements, and solution shaping; translate needs into architecture, technical specifications, delivery plans, and acceptance criteria.
  • Design, build, and implement custom AI/GenAI solutions tailored to business workflows and risk considerations.
  • Architect and optimize agentic AI systems (e.g., tool-using agents, multi-step orchestration, multi-agent patterns) and integrate with enterprise platforms.
  • Lead end-to-end RAG implementations including ingestion, preprocessing, chunking, embeddings, indexing, retrieval, orchestration, and evaluation.
  • Drive GenAI model build activities (training, fine-tuning, validation), benchmarking, and continuous improvement of quality, safety, latency, and cost.
  • Oversee model deployment and production operations (monitoring, observability, incident response, iteration).
  • Lead development pods (planning, quality, delivery), including code/design reviews, mentoring, and engineering best practices.
  • Collaborate with cross-functional stakeholders (product, data, security, risk/compliance) to deliver scalable, maintainable solutions.
  • Evaluate emerging GenAI/agent frameworks and cloud services; prototype and recommend fit-for-purpose approaches.

The team
Our team culture is collaborative and encourages team members to take initiative and seek on-the-job learning opportunities. Audit & Assurance services are focused on engagements related to independent External Audit services, Accounting, Controls & Reporting Advisory, and Specialized Assurance & Sustainability. We bring together the diverse skills and industry experience of our people, leading-edge technology, and a global network to deliver high-quality audits of financial statements and internal controls over financial reporting, along with assurance reports and valuable advice and insights across the corporate reporting landscape. Learn more about Deloitte Audit & Assurance.

Qualifications
Required:

  • Bachelor's degree (or equivalent) in Computer Science, Engineering, Data Science, or a related field.
  • 6+ years of relevant experience in software engineering/full stack development and delivering AI/ML or GenAI-enabled solutions.
  • Experience leading teams and delivering client-facing solutions with clear ownership for quality and timelines.
  • Required technical skills (must have):
    • GenAI / NLP / Agentic AI
    • Python programming
    • Natural Language Processing (NLP)
    • Agentic AI, including LangChain, LangGraph, and LlamaIndex
    • RAG (Retrieval-Augmented Generation)
    • Prompt engineering
    • Vector databases (design/usage/integration)
    • Model build + deployment
    • GenAI model build: training, fine-tuning, validation
    • Model deployment (serving patterns, monitoring, iteration)
    • Containers (e.g., Docker)
    • Data engineering + APIs
    • ETL (extract, transform, load) and data engineering (pipelines, quality, preprocessing)
    • FastAPI (or equivalent) to build backend services
    • API development and integration (RESTful services)
    • Full stack engineering
    • JavaScript/TypeScript
    • HTML/CSS plus SASS/LESS
    • UI/UX design principles
    • Front-end frameworks: React, Angular, or Vue
    • Cloud AI/ML services across Azure, Amazon Web Services (AWS), and Google Cloud Platform (GCP)
    • Vertex AI experience
  • You should reside within a commutable distance of your assigned office with the ability to commute daily, if required
  • You can expect to co-locate on average 3 times a week with variations based on types of work/projects and client locations
  • Ability to travel up to 50%, on average, based on the work you do and the clients/sectors you serve
  • Limited immigration sponsorship may be available.

Preferred:

  • Cloud certification (AWS, Azure, or GCP) and/or AI/ML certification.
  • Experience with deep learning frameworks (e.g., PyTorch, TensorFlow, Keras).
  • Familiarity with AI/GenAI ethics and governance frameworks and implementing controls in production.

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $151,470 to $218,025.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Qualifications:

Deloitte professionals help organizations navigate business risks and opportunities across financial, operational, information technology (IT), and regulatory areas. In this Manager role, you will lead teams delivering end-to-end (full stack) Generative AI (GenAI) solutions-including Retrieval-Augmented Generation (RAG) and agentic AI-from strategy and architecture through build, deployment, and adoption.

Recruiting for this role ends on May 31st, 2026


Work you'll do

  • Lead client discovery, requirements, and solution shaping; translate needs into architecture, technical specifications, delivery plans, and acceptance criteria.
  • Design, build, and implement custom AI/GenAI solutions tailored to business workflows and risk considerations.
  • Architect and optimize agentic AI systems (e.g., tool-using agents, multi-step orchestration, multi-agent patterns) and integrate with enterprise platforms.
  • Lead end-to-end RAG implementations including ingestion, preprocessing, chunking, embeddings, indexing, retrieval, orchestration, and evaluation.
  • Drive GenAI model build activities (training, fine-tuning, validation), benchmarking, and continuous improvement of quality, safety, latency, and cost.
  • Oversee model deployment and production operations (monitoring, observability, incident response, iteration).
  • Lead development pods (planning, quality, delivery), including code/design reviews, mentoring, and engineering best practices.
  • Collaborate with cross-functional stakeholders (product, data, security, risk/compliance) to deliver scalable, maintainable solutions.
  • Evaluate emerging GenAI/agent frameworks and cloud services; prototype and recommend fit-for-purpose approaches.

The team
Our team culture is collaborative and encourages team members to take initiative and seek on-the-job learning opportunities. Audit & Assurance services are focused on engagements related to independent External Audit services, Accounting, Controls & Reporting Advisory, and Specialized Assurance & Sustainability. We bring together the diverse skills and industry experience of our people, leading-edge technology, and a global network to deliver high-quality audits of financial statements and internal controls over financial reporting, along with assurance reports and valuable advice and insights across the corporate reporting landscape. Learn more about Deloitte Audit & Assurance.

Qualifications
Required:

  • Bachelor's degree (or equivalent) in Computer Science, Engineering, Data Science, or a related field.
  • 6+ years of relevant experience in software engineering/full stack development and delivering AI/ML or GenAI-enabled solutions.
  • Experience leading teams and delivering client-facing solutions with clear ownership for quality and timelines.
  • Required technical skills (must have):
    • GenAI / NLP / Agentic AI
    • Python programming
    • Natural Language Processing (NLP)
    • Agentic AI, including LangChain, LangGraph, and LlamaIndex
    • RAG (Retrieval-Augmented Generation)
    • Prompt engineering
    • Vector databases (design/usage/integration)
    • Model build + deployment
    • GenAI model build: training, fine-tuning, validation
    • Model deployment (serving patterns, monitoring, iteration)
    • Containers (e.g., Docker)
    • Data engineering + APIs
    • ETL (extract, transform, load) and data engineering (pipelines, quality, preprocessing)
    • FastAPI (or equivalent) to build backend services
    • API development and integration (RESTful services)
    • Full stack engineering
    • JavaScript/TypeScript
    • HTML/CSS plus SASS/LESS
    • UI/UX design principles
    • Front-end frameworks: React, Angular, or Vue
    • Cloud AI/ML services across Azure, Amazon Web Services (AWS), and Google Cloud Platform (GCP)
    • Vertex AI experience
  • You should reside within a commutable distance of your assigned office with the ability to commute daily, if required
  • You can expect to co-locate on average 3 times a week with variations based on types of work/projects and client locations
  • Ability to travel up to 50%, on average, based on the work you do and the clients/sectors you serve
  • Limited immigration sponsorship may be available.

Preferred:

  • Cloud certification (AWS, Azure, or GCP) and/or AI/ML certification.
  • Experience with deep learning frameworks (e.g., PyTorch, TensorFlow, Keras).
  • Familiarity with AI/GenAI ethics and governance frameworks and implementing controls in production.

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $151,470 to $218,025.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Education:Bachelor's DegreeEmployment Type:

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