1

Iteration Manager Jobs in Tulsa, OK (NOW HIRING)

... Manager, Principal to join their Platform Engineering Group. The role involves leading software ... rapid iteration. • Understand CI/CD Principles by demonstrating familiarity with Continuous ...

You will own the product experience from early concept through prototype, first launch, user learning, and iteration. You will work shoulder to shoulder with discovery, product strategy, engineering ...

You will own the product experience from early concept through prototype, first launch, user learning, and iteration. You will work shoulder to shoulder with discovery, product strategy, engineering ...

Principal Product Designer

Tulsa, OK · On-site

$140K - $170K/yr

You will own the product experience from early concept through prototype, first launch, user learning, and iteration. You will work shoulder to shoulder with discovery, product strategy, engineering ...

... project management concepts, requirements gathering and documentation, software development ... iteration without losing momentum or quality • Demonstrates exceptional learning agility ...

Capable of managing and working in an environment that is fast paced, demanding, with a focus on ... iteration and production implementation. * Results-oriented, empowering leader with direct ...

Executes projects using project management concepts, requirements gathering and documentation ... rapid iteration without losing momentum or quality * Demonstrates exceptional learning agility ...

Executes projects using project management concepts, requirements gathering and documentation ... rapid iteration without losing momentum or quality * Demonstrates exceptional learning agility ...

Executes projects using project management concepts, requirements gathering and documentation ... rapid iteration without losing momentum or quality * Demonstrates exceptional learning agility ...

Iteration Manager information

See Tulsa, OK salary details

$8

$23

$48

How much do iteration manager jobs pay per hour?

As of Jul 26, 2026, the average hourly pay for iteration manager in Tulsa, OK is $23.53, according to ZipRecruiter salary data. Most workers in this role earn between $15.43 and $29.18 per hour, depending on experience, location, and employer.

Are Scrum Masters being phased out?

Scrum Masters remain a valuable role in Agile teams, focusing on facilitating Scrum processes and team collaboration. While some organizations are evolving their Agile practices and integrating roles like Agile Coaches or Iteration Managers, Scrum Masters continue to be in demand for guiding teams through Agile frameworks and ensuring effective sprint execution.

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. While both roles promote Agile methodologies, the iteration manager may have a broader scope across multiple teams or projects, whereas the Scrum Master typically works within a Scrum team to ensure adherence to Scrum practices.

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.

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.

Can a PM be a Scrum Master?

A Project Manager (PM) can serve as a Scrum Master if they have the necessary knowledge of Agile principles and Scrum practices. While the roles are distinct—PMs focus on project delivery and Scrum Masters facilitate Agile processes—some professionals hold both roles, especially in smaller teams or organizations. However, effective Scrum Masters typically require specific training or certification, such as Certified ScrumMaster (CSM).
What job categories do people searching Iteration Manager jobs in Tulsa, OK look for? The top searched job categories for Iteration Manager jobs in Tulsa, OK are:
What cities near Tulsa, OK are hiring for Iteration Manager jobs? Cities near Tulsa, OK with the most Iteration Manager job openings:
Infographic showing various Iteration Manager job openings in Tulsa, OK as of July 2026, with employment types broken down into 85% Full Time, 11% Part Time, 3% Contract, and 1% Summer. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution, with an average salary of $48,937 per year, or $23.5 per hour.
Manager - GenAI Full Stack Developer

Manager - GenAI Full Stack Developer

Deloitte

Tulsa, OK

Other

Posted 18 days ago


Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 91 frontline employees who took The Breakroom Quiz

58th of 150 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 July 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 July 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:

What Deloitte employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom