Head Data, Integrations

Job Description

Major Responsibilities:

- Lead large technology and project/program management teams (approximately 70+ internal associates supported by 350+ externals) to define and implement Data, Integrations and Analytics Platform capabilities for Novartis, overseeing the expenditure of approximately $60M annually.
- Strategy definition and execution for business systems and processes across the enterprise for data, integrations and analytics platforms.
- Define and select platform technologies to address enterprise needs as well as partner with various business functions to drive adoption and monetize business impact.
- Partner with various business functions and enable efficient design, automation, and delivery of self-service solutions on the Visualization/UX and data prep platforms, including design and coding standards that are aligned to the architecture standards.
- Develop colleagues and grow talent towards making Data and Associates AI-ready.
- Integrate GenAI capabilities within data, integration, and analytics platforms to enhance the experience of both developers and consumers of analytics.
- Enable smooth onboarding of various use cases on the data, integrations and analytics platforms increasing efficiencies and reducing delivery intervals.
- Capability building and roadmap for various data, integrations and analytics platforms. Operate at scale to cater to various use cases on the platform with focus on Cloud and AI technologies.
- Define how different platform components will need to interact and sustain an integrated end-user experience across all platforms.
- Implement large programs in accordance with budget, quality, and timeline. Create reusable assets (data, user experience, platforms, products) and deploy them across functions and geographies for business value generation.
- Create, evangelize, and maintain point of view on emerging market trends in life sciences, pharma industry on pertinent capabilities.
- Adopt user-centric design approach and automated testing practices to roll out solutions rapidly.
- Define and maintain platform architecture standards and roadmaps required to operationalize business needs for a new service.
- Drive product relationship management with the software vendors and system integrators.
- Assess business opportunities, understand market trends, and come up with strong business cases to drive the platform capabilities towards the org. vision & values.
- Deliver against agreed KPIs utilizing fit for purpose technologies and project lifecycle methodologies (including Waterfall, Agile, and DevSecOps) and establish efficient project governance framework to communicate with stakeholders on a timely manner.
- Work closely with Enterprise Architecture team, Enterprise Data Management team and technology & cloud partners (such as Microsoft, Amazon, Oracle, Databricks, Snowflake, Informatica, etc.) to define technological roadmaps and to translate concepts into scalable products.
- Accountable for the full platform solution lifecycle including Release Management, CI/CD, DevSecOps / Software Engineering / QA Engineering / Product Delivery and financial management.
- Ensure compliance of all designed solutions within platform architecture scope to all relevant internal/external requirements (e.g., GxP, SOX, Information Security and Compliance framework).
- Infuse new culture and mindset at role modelling Novartis values & behaviors.

Minimum Requirements:

- 20+ years of overall IT experience with in-depth understanding of building, maintaining, and enhancing large scale Enterprise Data Management, Data Integrations and Analytics platforms.
- Proven skills and experience in defining and executing the enterprise strategy for Data, Integrations and Analytics platforms in collaboration with Business Functions in a global matrix organization.
- Adept with defining technology standards for Data, Integrations, and Analytics platforms in partnership with Enterprise Architecture and ensuring compliance via effective governance.
- In-depth knowledge of technical and data management best practices to ensure efficient design, delivery and user adoption.
- Proven ability to communicate complex tech topics across various stakeholders and align well with all levels of IT and business stakeholders.
- Strong analytical mindset with problem-solving skills.
- Excellent communication, collaboration, influencing and stakeholder management skills.
- Learning agility, continuous improvement mindset and attention to details.
- Proven track record of enabling change in a large, matrix organization.
- Ability to convert abstracts into executable projects and programs.
- Familiarity with modern Cloud, AI and information system technologies is a plus.
- Building high performance teams and coaching staff for excellence.
- Bachelor s or Master s degree in computer science or equivalent.

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