Sr. SAP Enterprise Architect - Incentives

McKesson

Cork

On-site

EUR 72,000 - 120,000

Full time

14 days+

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Benefits offered by this job

Total Rewards package

Job summary

McKesson seeks a Senior IT Architect – Visualization & AI to shape enterprise-wide incentives technology. You will design scalable cloud-native solutions, lead analytics and reporting initiatives, and partner with stakeholders across Finance, Commercial, and Operations.

The role emphasizes data lake, Databricks, Kafka, Snowflake, and AI-driven automation, with a focus on SOX compliance and secure, real-time data flows. A strong background in AI/ML and dashboards is essential.

Qualifications

  • Bachelor’s degree in Computer Science, Engineering, or related field.
  • 7+ years in IT Architecture, Data Architecture, Analytics, or similar senior technical role.
  • Experience with Databricks and Azure Data Lake.
  • Hands-on AI/ML, data analytics, dashboard development, and reporting solutions.
  • Proficiency in Python, SQL, and Unix/Linux scripting.
  • Experience with data visualization tools such as Tableau or Power BI.
  • Experience with Azure, Snowflake, and Kafka.
  • Strong analytical and stakeholder management skills, with ability to translate requirements into technical solutions.

Responsibilities

  • Define architectural strategies for incentive systems and ensure integration with enterprise platforms.
  • Support development of architectural plans and documentation for applications and infrastructure.
  • Collaborate with stakeholders to understand business needs and translate them into technical solutions.
  • Contribute to alignment of IT solutions with business goals.
  • Participate in deployments using GitHub and assist with integration across SaaS products.
  • Help build reporting capabilities using Azure Data Lake, Databricks, Kafka and Snowflake.
  • Provide support for database operations and coordinate with technical teams as needed.
  • Ensure compliance with SOX requirements for new processes.

Skills

Databricks
Azure Data Lake
Python
SQL
Unix/Linux scripting
Tableau/Power BI
Cloud: Azure
Kafka
Snowflake
AI/ML

Education

Bachelor’s degree in Computer Science or related field

Tools

GitHub

Job description

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.

The Senior IT Architect – Visualization & AI

the role is responsible for defining, designing, and governing enterprise-wide technology solutions that support complex incentive programs, including customer rebates, vendor incentives, contracts, and chargebacks. This role requires an architect with strong technical and design skills who can translate complex business requirements into innovative, scalable, and secure solutions across SaaS platforms, with a strong focus on cloud-native technologies, real-time data streaming, and AI-driven automation.

Key Responsibilities
  • Assist in defining architectural strategies for incentive systems and ensure integration with enterprise platforms.
  • Support development of architectural plans and documentation for applications and infrastructure.
  • Collaborate with stakeholders to understand business needs and help translate them into technical solutions.
  • Contribute to alignment of IT solutions with business goals.
  • Participate in deployments using GitHub and assist with integration across SaaS products.
  • Help build reporting capabilities using Azure Data Lake, Databricks, Kafka and Snowflake
  • Provide support for database operations and coordinate with technical teams as needed.
  • Ensure compliance with SOX requirements for new processes.
Required Skills
  • Bachelor’s degree in Computer Science, Engineering, or a related field.
  • 7+ years’ experience in IT Architecture, Data Architecture, Analytics, AI, or a similar senior technical role.
  • Strong experience with data and analytics platforms, including Databricks and Azure Data Lake.
  • Hands-on experience with AI/ML, data analytics, dashboard development, and reporting solutions.
  • Proficiency in Python, SQL, and Unix/Linux scripting.
  • Experience with data visualisation tools such as Tableau, Power BI, or similar platforms.
  • Experience with cloud and data technologies including Azure, Snowflake, and Kafka.
  • Strong analytical, problem-solving, and stakeholder management skills, with the ability to translate business requirements into technical solutions.
Preferred Skills
  • Experience with customer rebates, vendor incentives, contracts, or chargebacks.
  • Domain knowledge of pricing, deal pricing, revenue management, or commercial analytics.
  • Exposure to SAP or Oracle environments, particularly as enterprise source systems.
  • Experience developing predictive analytics, AI-driven insights, or advanced reporting solutions.
  • Knowledge of SaaS-based enterprise platforms and modern solution architectures.
  • Understanding of SOX controls, audit requirements, and technology governance practices.
  • Experience presenting technical solutions to business and leadership stakeholders.
  • Ability to quickly learn new business domains and apply technical expertise to complex commercial processes.
LEADERSHIP & BEHAVIORAL COMPETENCIES
  • Strategic Influence — Shapes the Incentives technology roadmap through rigorous analysis, compelling business cases, and executive-ready communication.
  • Systems Thinking — Sees past the Incentives domain boundary — connecting architecture decisions to enterprise-wide program and platform impacts.
  • Analytical Rigor — Applies discipline to financial analysis, maturity assessments, performance benchmarking, and investment prioritization.
  • Cross-Functional Partnership — Operates fluidly across EA, Engineering, Finance, Commercial, and Operations to drive decisions and sustain alignment.
  • Talent Acceleration — Grows domain capability across the organization through deliberate mentoring, standards-setting, and knowledge transfer.

At McKesson, we care about the well‑being of the patients and communities we serve, and that starts with caring for our people. That’s why we have a Total Rewards package that includes comprehensive benefits to support physical, mental, and financial well‑being. Our Total Rewards offerings serve the different needs of our diverse employee population and ensure they are the healthiest versions of themselves.

As part of Total Rewards, we are proud to offer a competitive compensation package at McKesson. 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.

Our Base Pay Range for this position

€72,000 - €120,000

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