McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve – we care.

What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow’s health today, we want to hear from you.

Current Need:

The Customer Distribution Experience (CDx) team is seeking a Director of Data Insights to lead data-driven decision-making across the pillars of CDx – Distribution Operations, Strategic Initiatives, Inventory Management, Quality, Customer Demand, Customer Experience Operations (CxO), Transportation, and Strategic Distribution. This position will report directly to the Vice President, Strategic Initiatives & Insights.

The Director of Data Insights will utilize strong analytical skills and a comprehensive understanding of the pharmaceutical supply chain, including regulatory, operations, procurement, forecasting, and transportation. This role will also cultivate and champion a culture centered around data-driven decision-making and foster a dynamic environment of continuous learning and growth.

This role will leverage knowledge of supply chain economics to support strategic decision-making based on data across relationships with manufacturers and customers. Collaborating closely with CDx leadership, the Director will identify and address complex business inquiries. Responsible for the development, analysis, and modeling of operational, economic, management, accounting, and other organizational data. Provides recommendation solutions to new and complex problems, develops innovative strategies, quantifies the competitive performance of the organization’s operations and evaluates the potential impact of changes.

The position will focus on automating processes and enhancing efficiency within the team, including defining business requirements, testing and implementing solutions, and delivering immediate business needs such as automation and dashboards. A deep understanding of the pharmaceutical industry, proficiency in handling large datasets, designing intuitive solutions, applying critical thinking, and extracting insights for CDx and broader Pharmaceutical Solutions and Services (PSaS) leadership are crucial aspects of this role.

Key Responsibilities:

• Serve as a leader, connector, and translator between the CDx and McKesson Technology (MT) teams, while also acting as an educator for the MT team regarding the data structure and significance of CDx.

• Inspire a team of analysts and serve as a liaison between MT and CDx stakeholders. Drive the identification of opportunities for value creation, end-to-end visibility, and enhanced customer experiences through data and insights. Lead by example, communicate the vision, foster a culture of learning, provide autonomy, celebrate successes, create a collaborative environment, and offer growth opportunities to inspire the team.

• Take ownership of data dashboard development that goes beyond raw data and instead deliver actionable insights. Collaborate with stakeholders to understand the purpose and objectives of the dashboards and assist leadership with clear rationale and context behind the presented data.

• Respond promptly to acute issues within CDx by providing ad-hoc data and analysis. Collaborate with sell-side and buy-side teams to analyze data for request for proposals (RFP). Ensure timely and accurate delivery of data-driven insights to support decision-making processes.

Minimum Requirements:

• Degree or equivalent experience. Typically requires 12+ years of strategy, prescriptive analytics, and/or finance analytics experience AND 4+ years of management experience.

Education:

• Bachelor’s degree in computer science, economics, supply chain, finance, or a related field required.

• Master’s degree preferred.

Critical Skills:

• Experience in the pharmaceutical, healthcare industry, or life sciences sector preferred.

• Demonstrated expertise in supply chain economics and their seamless integration with manufacturer and customer negotiations.

• Proficient in SQL, data modeling, data mining, and analytics to extract valuable insights.

• Proficiency in utilizing data visualization tools such as Snowflake, Tableau, Power BI, and the SAP suite for effective data representation.

• Proven track record of driving data-driven strategic thought leadership and consistently delivering impactful results.

Additional Skills:

• Inquisitive and imaginative mindset to connect diverse elements across the enterprise and leverage existing capabilities.

• Exceptional business acumen, problem-solving skills, and critical thinking abilities to extract actionable insights from complex datasets.

• Regularly communicate with leadership to foster collaboration, generate innovative ideas, and develop analytical solutions that drive insightful decision-making.

• Cultivate a collaborative environment that encourages the use of data and enhances the skills of the team.

• Maintain comprehensive documentation of technical solutions built using analytical tools.

• Ability to contribute effectively to a diverse and high-performing workforce.

• Able to travel up to 20% of the time.

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. 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 click here.

Our Base Pay Range for this position

$137,000 – $228,400

McKesson is an Equal Opportunity Employer

McKesson provides equal employment opportunities to applicants and employees and is committed to a diverse and inclusive environment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age or genetic information. For additional information on McKesson’s full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page.

Join us at McKesson!

About Iris

Iris is an innovative platform that brings AI superpowers to your camera. With intelligent framing, remote control, image settings corrections, and visual effects, Iris integrates directly with Pan Tilt Zoom (PTZ) cameras and robotic camera heads to automate complex movements and track subjects in real-time. Our remote-first tools lets you control your cameras from anywhere in the world.

About the Role

We are seeking an exceptional AI Engineer to join our team. In this role, you will work on edge-deployed software and ML models that run on-site, on-device, as well as in browser and on the cloud. You will be focusing primarily on Go, TypeScript and Python development. You will work on AI Systems that automate both the configuration of and robotically control various production elements. You will be responsible for completing large, complex projects from end to end, at times independently, working within the constraints of both embedded systems and high-resource systems with demanding, real time, requirements.

Definitions of this role vary depending on the company. At Iris, an AI Engineer:

• Has an extensive (professional) background in Software Engineering, Computer Science, Data Structure, Programming Patterns, etc

• Is capable of writing the software necessary to drive robotic production elements such as Pan Tilt Zoom (PTZ) cameras, robotic slides, cable cams, etc using inputs from one or multiple ML models

• Is capable of designing architecture, using ML models and software to automate novel tasks

• Is able to leverage existing SOTA models such as GPT-4V, YOLOv10, Segment Anything, etc to accomplish novel tasks

• At times, able to build curation pipelines for custom datasets using existing model architectures; such as training a custom YOLO model

• Is capable of writing performant, production ready, code in a variety of languages including Python, Go, and TypeScript

• Is capable of dealing with complex projects and tasks from end to end, even if that means learning something completely new

An AI Engineer at Iris IS NOT:

• An ML/CV/AI Researcher – In this role you will not be primarily focused on designing new models and thinking about model architecture. Usually you will use existing models to accomplish tasks and focus more on productionalizing them

• A Python Centric Engineer – In this role you will need to write code in a variety of languages including Go, TypeScript, Rust, and at times Python

Responsibilities

• Design, develop, and maintain software for edge-deployed, cloud, and browser ML systems using Go, TypeScript, Python, and (at times) Rust

• Design architecture, using ML models and custom software to automate novel tasks

• Be able to work wherever the compute needs to be, in whatever environment that may be, including Desktop Environments (such as Mac, Linux, and Windows), Browser Environments (leveraging technologies like WebGPU and TypeScript), Embedded Environments, and Cloud Environments

• Work on projects from conception to completion, ensuring high-quality deliverables

• Work with the complexities of high quality and high performance video systems and the realities of the internet

• Collaborate with cross-functional teams, including Backend Engineers and Frontend Engineers, to integrate AI features and communicate and work with them around the specific requirements and constraints of each feature

• Contribute to the overall architecture and design of the Iris Platform

• Stay up-to-date with emerging trends and technologies in the field

Requirements

• Proven experience integrating AI Systems end to end in real time environments

• Proven experience as a Senior Software Engineer or similar role

• Strong proficiency in the Go programming language

• Knowledge of and desire to work in TypeScript and WebGPU environments for some edge deployed models

• Experience with embedded systems, robotics, and/or PTZ cameras is highly desirable

• Excellent problem-solving skills and the ability to think critically

• Strong communication and collaboration skills for working effectively in a small, remote team

• Passion for innovation and the ability to take ownership of complex projects

About You

• You have a genuine passion for computer science and software engineering, and you enjoy working on personal projects outside of work

• You are proactive in staying up-to-date with the latest trends and technologies in the field

• You have a diverse range of interests and can bring a unique perspective to problem-solving and innovation

• You understand the challenges and opportunities associated with working in a small, fast-paced startup environment

• You are comfortable with increased autonomy, wider job expectations, and the need to be flexible and adaptable in a rapidly changing environment

The Opportunity

At Iris, we’re building a lean, highly skilled team that values autonomy and innovation. As an early member of our team, you’ll have the chance to:

• Work on a revolutionary platform that’s transforming the way people interact with cameras, and we believe, all devices

• Collaborate with a talented, passionate team of engineers, designers, and AI experts

• Make a significant impact on our product and culture

• Enjoy competitive compensation, flexible remote work, and the opportunity to build something truly innovative

• Work on a wide range of projects and technologies, expanding your skill set

• Experiment, innovate, and step outside your comfort zone

• Collaborate with a supportive team that values continuous learning

• Receive competitive compensation, (truly) remote work, and equity in a fast-paced startup

If you’re excited about the opportunity to join a passionate team working on cutting-edge technology, we’d love to hear from you. Please submit your resume and a brief cover letter highlighting your relevant experience and what drew you to Iris.