Scrum Lead & PM- Lending

Machine Learning Technologies, LLC; Denver (CO); On-site; USD 120,000 - 180,000; Full time

Job summary

Machine Learning Technologies, LLC in Denver is seeking a Lead Scrum Master / Agile Delivery Manager with 12+ years of experience to lead cloud transformation, AI/GenAI initiatives, and digital banking platform delivery. You will guide multiple teams, facilitate core Agile ceremonies, and drive delivery excellence in regulated financial services environments.

The role emphasizes collaboration with architects, DevOps, security, and business leaders to translate roadmaps into concrete plans and

Qualifications

• 12+ years of experience as a Scrum Master, Agile Project Manager, Delivery Manager, or Program Manager.
• Proven experience leading Cloud Transformation, AI/GenAI initiatives, Digital Transformation programs, and Enterprise Business Application delivery.
• Strong understanding of cloud platforms such as Azure, AWS, and cloud-native architectures.
• Experience managing AI/ML, GenAI, automation, analytics, and data-driven initiatives.
• Demonstrated success delivering complex enterprise business applications, platform modernization, API integrations, and digital banking solutions.
• Experience working in Banking, Financial Services, Payments, or other regulated industries.
• Certified Scrum Master (CSM), SAFe, PMI-ACP, PMP, or equivalent Agile certification.

Responsibilities

• Agile Leadership & Delivery across multiple teams and programs.
• Serve as Lead Scrum Master for cloud, AI, digital transformation, and business application initiatives.
• Facilitate Agile ceremonies: Sprint Planning, Daily Stand-ups, Reviews, Retrospectives, Scrum of Scrums, PI Planning.
• Coach teams, Product Owners, and leadership on Agile best practices and delivery excellence.
• Drive Agile maturity, delivery predictability, and operational excellence across programs.
• Lead delivery of cloud migration, application modernization, platform engineering, and AI-enabled solutions.
• Coordinate cross-functional teams delivering AI, analytics, automation, cloud-native apps, and transformation initiatives.
• Collaborate with architects, engineering, and business leaders to translate roadmaps into actionable plans.
• Ensure alignment of business objectives, cloud strategy, and AI innovation initiatives.

Skills

Lead Scrum Master

Agile Delivery

Cloud Transformation

AI/GenAI initiatives

Stakeholder management

Tools

Jira

Azure DevOps

Confluence

ServiceNow

Azure

AWS

Kubernetes

Docker

API Management

Job description

Role Descriptions:

• Lead Scrum Master / Agile Delivery Manager (Cloud, AI & Digital Transformation)
• 12+ years of experience as a Scrum Master, Agile Project Manager, Delivery Manager, or Program Manager.
• Proven experience leading Cloud Transformation, AI/GenAI initiatives, Digital Transformation programs, and Enterprise Business Application delivery.
• Strong understanding of cloud platforms such as Azure, AWS, and cloud-native architectures.
• Experience managing AI/ML, GenAI, automation, analytics, and data-driven initiatives.
• Demonstrated success delivering complex enterprise business applications, platform modernization, API integrations, and digital banking solutions.
• Experience working in Banking, Financial Services, Payments, or other regulated industries.
• Certified Scrum Master (CSM), SAFe, PMI-ACP, PMP, or equivalent Agile certification.

Key Responsibilities

• Agile Leadership & Delivery
• Serve as Lead Scrum Master for multiple Agile teams supporting Cloud, AI, Digital Transformation, and Business Application initiatives.
• Facilitate Agile ceremonies including Sprint Planning, Daily Stand-ups, Reviews, Retrospectives, Scrum of Scrums, and PI Planning.
• Coach teams, Product Owners, and leadership on Agile best practices, continuous improvement, and delivery excellence.
• Drive Agile maturity, delivery predictability, and operational excellence across programs.
• Cloud, AI & Digital Transformation
• Lead delivery of cloud migration, application modernization, platform engineering, and AI-enabled business solutions.
• Coordinate cross-functional teams delivering AI, analytics, automation, cloud-native applications, and digital transformation initiatives.
• Partner with architects, engineering teams, and business leaders to translate transformation roadmaps into executable plans.
• Ensure alignment between business objectives, cloud strategy, and AI innovation initiatives.
• Manage delivery and enhancement of enterprise business applications including ERP, CRM, workflow automation, digital platforms, and banking systems.
• Coordinate application lifecycle activities including planning, development, testing, releases, upgrades, and production readiness.
• Drive prioritization and execution of business and technology roadmaps across multiple application portfolios.
• Support governance, risk management, and compliance requirements for business-critical applications.
• Plan and manage complex programs involving multiple teams, vendors, and stakeholders.
• Own project plans, delivery roadmaps, RAID logs, dependencies, budgets, and resource planning.
• Monitor program health using KPIs, dashboards, delivery metrics, and executive reporting.
• Proactively identify risks, remove impediments, and drive mitigation strategies.
• Act as the primary liaison between business leaders, product teams, architecture, engineering, operations, and executive leadership.
• Facilitate strategic planning, roadmap discussions, and executive reviews.
• Translate business objectives into actionable Agile delivery plans.
• Collaborate with DevOps, Cloud Engineering, Security, Data Engineering, and Support teams to ensure smooth delivery and release execution.
• Promote automation, AI-assisted delivery practices, and continuous improvement initiatives.
• Support budget planning, governance, compliance, audit readiness, and operational health reporting.
• Jira, Azure DevOps, Confluence, ServiceNow
• Azure, AWS, Kubernetes, Docker
• AI/ML, GenAI, Azure OpenAI, Microsoft Copilot
• API Management, Microservices, DevOps, CI/CD
• Proven experience leading Cloud Transformation, AI/GenAI initiatives, Digital Transformation programs, and Enterprise Business Application delivery.
• Strong understanding of cloud platforms such as Azure, AWS, and cloud-native architectures.
• Experience managing AI/ML, GenAI, automation, analytics, and data-driven initiatives.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.