Détails du poste

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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.

Job Summary

The Director, Software Engineering is responsible for executing McKesson’s Pharmaceutical Solutions and Services (PSaS) data strategy in alignment business strategy and priorities. He/she will lead data management and architecture for Cell, Gene, and Advanced Therapy (CGAT) related solutions to ensure long term ability to drive business outcomes with data. This role drives execution of all DI priorities defined by business leaders for the portfolio including lights on and investment related efforts. The successful candidate will have the perfect blend of business acumen, in depth knowledge of data science and AI technologies along with strong leadership skills to deliver innovative digital solutions that enables effective decision making.

Responsibilities will include, but are not limited to:

• Accountable for leading teams to deliver on PSaS innovative DI solutions by translating data into insights and intelligence that drive critical business decisions related to CGAT
• Develop and integrate systems that support patient orchestration, ensuring a seamless, personalized patient journey in CGAT therapies
• Create analytics solutions for managing the unique supply chain challenges associated with personalized CGAT therapies, including logistics, storage, and distribution
• Lead the teams that identify and drive execution of all the key activities/product roadmap needed to implement the use cases (from requirements to solution adoption) by working with cross functional teams and create transparency on scope, timelines, key milestones
• Responsible for collaborating with business stakeholders, enterprise technology teams and vendors to deliver the solution
• Lead estimation of the cost to deliver the solution and the quantifiable benefits it is creating for the business
• Focus on customer centricity to guide matrixed teams through the design and development of data products by iterative Agile approach
• Collaborate with Project Manager or Scrum Master to make sure that right resources are engaged to provide the solution and roadblocks that impede the progress are addressed
• Proactively identify and manage risk to timelines and overall deliverables
• Design data architectures that facilitate compliance with specific regulations and standards, ensuring data is managed and reported in line with legal requirements
• Leads and manages the business identification, selection and business case preparation for new tools or resources required to continue to advance the delivery of advanced analytics, visualization, reporting, scorecard, and data usage
• Build and cultivate a talented analytics delivery team that attracts, develop and retain talents

Critical Requirements

• 10+ years of healthcare data and analytics experience, with 2+ years of experience in people management
• Experience in aspects like patient orchestration, supply chain for personalized therapies, regulatory compliance, and data-driven patient care will be important for this role
• Previous experience in managing complex projects and portfolios to deliver business outcomes in large-scale organizations through significant change management/transformations
• Strong leadership skills: excellent team management, coaching and mentoring skills; superior planning, process and influencing skills

Additional Qualifications:

• Deep knowledge of advanced analytics and big data technologies and methodologies, as well as proven experience translating big data into actionable outcomes in healthcare/pharmaceutical/biotech industries
• Proven track record of solving complex problems, thinking creatively, and using data to tell a story to influence senior level stakeholders
• Outstanding verbal and written communication with all levels of management, ability to translate technical term into Business insight
• Ability to work in a matrix environment and build partnership with both internal and external stakeholders
• Experience in developing cloud computing data platforms (Databricks, Azure, AWS etc.)

Education:

Bachelor’s degree in Data Science, Statistics, Computer Science, applied mathematics, machine learning, or a related data centric-technical field. Master’s degree preferred

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 click here.

Our Base Pay Range for this position

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.

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