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GSK remains committed to achieving bold commercial ambitions for the future. By 2031, we aim to deliver £40 billion in annual sales, leveraging our existing strong performance momentum to significantly increase our positive impact on the health of billions of patients globally. Our Ahead Together strategy is centred on early intervention to prevent and alter the course of disease, thereby protecting people and supporting healthcare systems.
Our diverse portfolio consists of vaccines, specialty medicines, and general medicines.
Through continuous innovation and a dedicated focus on scientific and technical excellence, we strive to develop and launch new, groundbreaking treatments that address critical health challenges.
The Director, ERP Data Analytics, AI & Automation Platform is accountable for the strategy, governance, delivery and operational performance of GSK's ERP data, analytics, AI and automation platforms. The role leads the teams responsible for ERP analytics, data provisioning, visualization, conversational AI and intelligent automation and enterprise reporting capabilities, ensuring these capabilities enable trusted data, actionable insights, operational efficiency and business value across the ERP landscape
The Director leads a portfolio of ERP data, analytics, AI and automation capabilities, including:
SAP BW and BW/4HANA
SAP BusinessObjects, Analysis for Office and Lumira
SAP Business Data Cloud (BDC)
SAP Analytics Cloud (SAC)
SAP Datasphere (DSP)
Power BI
Conversational AI for ERP data and insights
SAP Business Process Automation (SAP BPA)
ERP-focused AI and intelligent automation capabilities
SAP Joules
The role provides leadership across ERP Data Analytics and ERP AI & Automation teams and is accountable for platform strategy, service delivery, architecture, governance, technology lifecycle management, vendor management and continuous innovation.
Key Responsibilities
Lead the ERP Data Analytics, AI & Automation Platform, providing strategic direction, people leadership and operational accountability across analytics, data provisioning, visualization, conversational AI and automation capabilities.
Define and execute the platform strategy, roadmap and operating model, ensuring alignment with ERP transformation, enterprise data strategy, AI priorities and business objectives.
Lead ERP analytics and data platform modernization, including ECC to S/4HANA transformation initiatives and the adoption of SAP BW/4HANA, SAP Business Data Cloud, SAP Analytics Cloud, SAP Datasphere and Power BI.
Own the architecture, governance and lifecycle management of ERP analytics, data and AI platforms, ensuring scalable, secure and sustainable solutions.
Establish trusted, governed and reusable data products, ensuring data quality, integration, semantic consistency and a single source of truth across enterprise reporting and analytics.
Drive the adoption of AI, Conversational AI and Intelligent Automation capabilities, including SAP Business Process Automation, delivering measurable business value, productivity gains and enhanced user experiences.
Ensure compliance with data governance, privacy, cyber security, audit, regulatory and pharmaceutical industry requirements, including validated systems and data integrity standards.
Oversee platform operations and service delivery, driving engineering excellence through DevOps, automation, performance optimization, service reliability and continuous improvement.
Partner with business leaders, ERP product teams and enterprise stakeholders to shape demand, prioritize investments and maximize adoption and value realization from analytics, AI and automation capabilities.
Manage platform budgets, strategic vendors and delivery partners, providing executive oversight of performance, risks, financials and strategic outcomes.
Minimum Level of Job-Related Experience Required
18+ years of experience in ERP, Data & Analytics, AI, Automation or Enterprise Technology roles, including leadership of global teams, business-critical platforms and large-scale transformation initiatives.
5+ years of leadership experience managing enterprise data, analytics, AI, automation or ERP platform teams, including people, budgets, vendors and strategic roadmaps.
Proven experience defining and executing technology strategies, operating models and multi-year transformation roadmaps aligned to business objectives.
Strong experience leading SAP ECC and/or S/4HANA environments, including ERP transformation, analytics modernization and enterprise data platform initiatives.
Deep knowledge of enterprise analytics and data platforms, including SAP BW, BW/4HANA, SAP Analytics Cloud (SAC), SAP Datasphere (DSP), SAP Business Data Cloud (BDC), Power BI or equivalent technologies.
Experience driving AI, Generative AI, Conversational AI and Intelligent Automation capabilities, including governance, enterprise adoption and value realization.
Strong understanding of data governance, enterprise architecture, cyber security, privacy, risk management, audit and regulatory compliance within large global organizations.
Proven experience managing strategic vendors, managed service providers and multi-million-dollar technology budgets, with accountability for service delivery and business outcomes.
Demonstrated ability to lead geographically distributed teams and collaborate effectively across regions, cultures and business functions, preferably within global pharmaceutical, healthcare or other highly regulated industry environments.
Strong executive communication and stakeholder management skills, with the ability to influence senior business and technology leaders, drive alignment and build consensus across complex organizations.
JobRelated Experience sections above that are required for the job.
SAP certifications in SAP BW/4HANA, SAP Analytics Cloud (SAC), SAP Datasphere, SAP Business Data Cloud (BDC), SAP S/4HANA or SAP BTP preferred.
Microsoft certifications in Azure Data & AI, Power BI, Data Engineering or AI solutions preferred.
Agile, Scrum, SAFe, PMP or equivalent project/program management certifications desirable.
ITIL Foundation (or higher) certification and experience operating enterprise-scale service management models preferred.
AI, Cloud, Enterprise Architecture or Data Governance certifications desirable.
Skills
Why GSK?
Uniting science, technology and talent to get ahead of disease together.
GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases – to impact health at scale.
People and patients around the world count on the medicines and vaccines we make, so we’re committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people.
Inclusion at GSK:
As an employer committed to Inclusion, we encourage you to reach out if you need any adjustments during the recruitment process.
Please contact our Recruitment Team at IN.recruitment-adjustments@gsk.com to discuss your needs.
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