Job Title

Senior AI Automation Specialist

Summary The Senior AI Automation Specialist, plays a key role in advancing automation and AI capabilities across the Data Hub. This role focuses on designing and implementing intelligent automation solutions, including AI agents and workflows, to improve efficiency, accelerate delivery, and enable scalable data operations. The individual acts as a strategic enabler for Data Engineering, Data Management, Data Quality and Data Products by introducing creative automation patterns and leveraging emerging AI technologies.

What You’ll Do

Design and implement AI-driven automation solutions, including intelligent agents, copilots, and workflow automation

Partner with Data teams to identify automation opportunities and reduce manual effort across the data lifecycle

Develop reusable automation frameworks, tools, and services to improve team productivity and scalability

Leverage generative AI, machine learning, and scripting to streamline data operations, monitoring, and support processes

Enable self-service capabilities through automation, improving accessibility and efficiency for business and technical users

Collaborate with stakeholders to translate business problems into AI-enabled automation solutions

Establish best practices, governance, and guardrails for responsible AI and automation usage

Evaluate and introduce emerging AI and automation technologies to continuously improve Data Hub capabilities

Provide mentorship and guidance on automation patterns, AI adoption, and tooling across the team

What You Bring

Strong expertise in automation, AI solutions, and intelligent workflow design

Hands-on experience building AI agents, copilots, or automation solutions using modern AI tools

Proficiency in Python or similar languages for automation, APIs, and integrations





Experience working with AI platforms, frameworks, or services (e.g., Azure AI, OpenAI, or similar)

Strong understanding of data concepts (data pipelines, data models, data quality), without being focused on pipeline development

Experience integrating systems and automating processes across cloud environments

Strong problem-solving skills with a focus on efficiency and innovation

Ability to collaborate across technical and business teams to drive adoption of automation solutions

Degree or equivalent and typically requires 7+ years of relevant experience.

Experience building or deploying AI agents, copilots, or conversational AI solutions

Familiarity with prompt engineering, model orchestration, and LLM-based applications

Experience with automation platforms or low-code/no-code tools

Understanding of responsible AI, governance, and risk management practices

Exposure to data platforms (e.g., Snowflake, Databricks) to effectively partner with Data Engineering teams

Background in healthcare, pharmaceutical, or supply chain environments

Experience mentoring or leading technical workstreams

Working Conditions

In office requirement, we are Flex and Connect with 2 days a week in office

We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations.

In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please

Our Base Pay Range for this position

$94,400 - $157,300

📌 Job: Lifecycle & Marketing Automation Specialist (Winnipeg)
🏢 Stingray
📍 Winnipeg