Program Manager - AI

LTM

$90K — $130K *
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Computer Science, Data Science, Engineering, or related field
  • 5 years of experience in technical program/project management
  • 3 years delivering AIML or advanced analytics solutions
  • Intermediate to advanced knowledge of AIML methodologies and data workflows
  • Proven experience with cloud-based AI platforms like Azure ML, AWS SageMaker, or GCP Vertex AI
  • Strong familiarity with Agile methodologies and tools (e.g., Jira, Confluence)
  • Excellent communication skills linking technical details to business impact

Responsibilities

  • Define structure and drive complex AIML programs to align with business objectives
  • Oversee the end-to-end development cycle of AI models from data curation to deployment
  • Lead cross-functional teams to deliver integrated AIML features on schedule
  • Identify and mitigate technical, data, and adoption risks proactively
  • Champion responsible AI practices ensuring compliance with privacy and fairness standards
  • Coordinate with DevOps for robust MLOps and infrastructure readiness
  • Act as the primary liaison between technical teams and business stakeholders

Benefits

  • Remote work flexibility
  • Opportunities for professional growth and advancement
  • Engagement with cutting-edge AI technologies and methodologies
  • Participation in a collaborative and innovative work environment
  • Strong focus on ethical AI practices and governance
Full Job Description
Role description

Job Title: Program Manager - AI

Location :Toronto, Ontario (Remote)

Job Description:

Job Overview

We are seeking a strategic and execution focused Senior Technical Program Manager to lead our AIML initiatives You will act as the operational backbone of our Artificial Intelligence program partnering with Data Science Engineering and Product teams to translate business objectives into scalable AI solutions The ideal candidate has a strong technical foundation understands the nuances of data pipelines and model deployment MLOps and possesses the leadership skills to guide complex crossfunctional projects from concept to production

Key Responsibilities
  • Program Strategy Execution Define structure and drive complex AIML programs aligning them with business goals for automation efficiency and growth
  • AIML Lifecycle Management Oversee the endtoend development cycle of AI modelsfrom data curation and prototyping to training evaluation and deployment
  • CrossFunctional Leadership Lead crossfunctional teams data scientists ML engineers software engineers data engineers to deliver integrated AIML features on time
  • Risk Mitigation Problem Solving Proactively identify technical data and adoption risks implementing mitigation strategies eg managing data dependencies addressing model latency
  • Responsible AI Governance Champion ethical AI practices ensuring compliance with data privacy security and fairness standards
  • Infrastructure Tooling Coordinate with DevOps and infrastructure teams to ensure robust MLOps including cloud infrastructure readiness eg Azure GCP AWS and model monitoring
  • Stakeholder Communication Serve as the primary liaison between technical teams and business stakeholders clearly communicating progress risks and ROI

Required Qualifications
  • Bachelors degree in Computer Science Data Science Engineering or related field
  • 5 years of experience in technical programproject management with at least 3 years delivering AIML data science or advanced analytics solutions
  • Intermediate to advanced knowledge of AIML methodologies data engineering and data science workflows
  • Proven experience working with cloudbased AI platforms Azure ML or AWS SageMaker or GCP Vertex AI
  • Strong familiarity with Agile methodologies and tools such as Jira Confluence or Azure DevOps
  • Excellent communication skills with the ability to bridge technical detail and business impact
  • Certifications Must Have two out of the following
  • AI102 Microsoft Certified Azure AI Engineer Associate
  • DP100 Microsoft Certified Azure Data Scientist Associate
  • AI900 Microsoft AI Fundamentals

Preferred Qualifications
  • Masters degree or PhD in a relevant technical field
  • PMP PgMP or AgileScrum certification
  • Experience with Generative AI LLMs and agentic frameworks LangChain OpenAI API
  • Experience in a regulated industry eg HealthcareHIPAA Financial Services

Certifications Must Have one out of the following
  • AI102 Microsoft Certified Azure AI Engineer Associate
  • DP100 Microsoft Certified Azure Data Scientist Associate

Certifications Good to Have
  • AI102 Microsoft Certified Azure AI Engineer Associate
  • DP100 Microsoft Certified Azure Data Scientist Associate
  • Databricks Professional Certificate in Large Language Models

Soft Skills
  • Good customer connects Prepare reports for internal reporting
  • Positive attitude and excellent communication skills to manage customer calls
  • Excellent problemsolving skills Good communication Team collaboration

Educational Qualification
  • Minimum BCAMCABEBTech or equivalent
  • Preferred MTechMS

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