Lead and manage AI and ML operations, ensuring alignment with organizational goals and objectives
Collaborate with data scientists, data engineers, and UI developers to design, develop, and deploy AI/ML models and solutions
Manage and evaluate the performance of AI/ML systems, making recommendations for improvements and optimizations
Develop and implement operational strategies, policies, and best practices for AI/ML workflows
Lead project timelines, budgets, and resources to ensure successful delivery of AI/ML initiatives
Oversee the end-to-end delivery of product solutions, ensuring quality, timeline, and budget adherence
Collaborate with stakeholders to gather requirements, define project scope, and establish clear deliverables
Oversee development teams, ensuring smooth execution of agile processes and sprint planning
Identify and mitigate risks to project timelines, resources, or scope
Foster effective communication across teams, acting as the primary point of contact for project updates
Manage project roadmaps, milestones, and release schedules to align with business priorities
Support technical decision-making, working closely with architects and developers to deliver robust solutions
Conduct regular project reviews to assess progress, identify challenges, and implement solutions
Drive continuous improvement in delivery processes, tools, and methodologies
Ensure customer satisfaction by managing stakeholder expectations and ensuring delivery success

Requirements

EM Certification: Level 2 or above
Operational Management: Proven track record in operational management, including senior clients and key BU executives
Project Financials: Deep understanding of project financials and the ability to drive them
Leadership: Ability to manage delivery heads, delivery executives, and engagement managers
Customer Crisis Management: Ability to manage customer crises
Experience in product engineering, project delivery, or software development leadership roles
Proven experience in Agile methodologies such as Scrum or Kanban
Strong understanding of software development life cycle (SDLC) and product management frameworks
Excellent organizational and time management skills
Strong communication and interpersonal skills for effective stakeholder engagement
Proficiency in project management tools such as JIRA, Trello, or Azure DevOps
Experience in cloud environments like AWS, Azure, or Google Cloud Platform (GCP)
Familiarity with CI/CD tools and DevOps practices
Knowledge of technical architecture, microservices, and API design principles
Certifications such as Certified Scrum Master (CSM), PMP, or SAFe Agilist are highly desirable
Leadership Skills: Strong leadership skills with an ability to drive cross-functional teams
Communication Skills: Excellent communication skills, both oral and written
Problem-Solving: Adept at solving complex problems and implementing effective solutions
Experience: Minimum 10 years’ experience in a similar capacity or as Delivery Lead

Benefits

Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade
Company paid holidays
Personal Days
Sick Leave
Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
Life and disability insurance
Employee assistance programs
Other benefits as provided by local policy and eligibility

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

AI operationsML operationsAgile methodologiesScrumKanbansoftware development life cycle (SDLC)product management frameworkstechnical architecturemicroservicesAPI design principles

Soft Skills

leadershipcustomer crisis managementorganizational skillstime managementcommunication skillsinterpersonal skillsproblem-solvingstakeholder engagementrisk managementcontinuous improvement

Certifications

EM Certification Level 2Certified Scrum Master (CSM)PMPSAFe Agilist