Novartis
Global Solution Engineer, Data & Analytics Platform, Technology
Job Description
Job Description Summary
-Specialist for project delivery and/or operations in the given business sub -capability with focus on AI, ML and Geni AI.
– Partner with stakeholders for demand analysis, solution proposal/evaluation and project delivery
– Drive operations of systems and applications in scope (both Global and Local), ensuring their stability and integrity and meeting customer service levels.
Job Description
Major accountabilities:
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·Actively contribute to professional and reliable technology delivery for business systems, Big Data platforms, and analytics processes for business domain/function(s) in scope.
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Accountable to plan, define, and develop high-level designs for solutions
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Building Platform Capabilities to enable AI, ML and Gen AI Use Cases
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Working with Enterprise Architects to align solution architecture with enterprise architecture standards
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Actively contribute to on time, within budget, compliant, secure, and quality delivery of portfolio/ respective engagements.
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Effectively engage with the chosen SI Partner(s) and collaboratively strive to deliver business value.
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Contribute enterprise grade and state of the art Solution Design & Architecture with maximizing re-usability, configurability and scalability
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Ensure top class and state of the art engineering delivery, code management, automation and strive for highest efficiency.
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Supporting Project Managers in developing solution roadmaps, incl. evaluating change & run decisions
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Ensure the overall user experience is taken into account when designing deploying new solutions and services.
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Ensure adherence to Security & Compliance policies and procedures as well as with other Sandoz guidelines and standards.
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Working with Supplier Management to evaluate options for solutions and services ensuring external requirements and features are incorporated into solution designs
Key performance indicators:
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Delivery on agreed KPIs including business impact.
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Launch of innovative technology solutions across Sandoz at scale.
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Business impact and value generated from TT solutions.
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Operations stability and effective risk management.
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Feedback on customer experience.
Minimum Requirements:
Work Experience:
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· Overall 10+year experience within IT, with at least 5 years of relevant experience in in a role as a Big Data platform solution engineer or architect
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Ideally already worked on (AWS) platform solutioning for end-to-end design and migration of applications (having at least 5+ applications migrated on AWS)
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Experience in client facing role working with application teams and cloud operations from implementation until/including transition to operations.
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Proven experience (5+years) in engineering and software architecture design for big data solutions.
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Experience with hybrid cloud environments is a plus
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Experience in product delivery and architecture, including as an Architect of enterprise solutions
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Experienced in guiding and supporting use-case teams across wide geographies & in collaborating with business and technical stakeholders to align a strategic IT service portfolio with business needs.
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Experience with change management through process engineering and/or participating in large-scale IT change / transformation programs.
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Excellent written, oral communication and presentation skills to present features and solution recommendations to senior stakeholders.
Skills:
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Strong understanding of enabling AI, ML and Gen AI platform capabilities
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AWS Networking, Security, DataBricks (Dela Lake), Virtual Machine & DB set-up. Wep/App services, storage account, load balancer, API gateway & other data integration
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Familiar with DevOps tools (e.g. Jenkins, BitBucket), AWS DevOps Board; implementation in Agile methodology
Languages :
- Fluent in written and spoken English
Skills Desired
Budget Management, Business Acumen, Performance Management, Planning, Risk Management, Service Delivery Management, Stakeholder Management, Waterfall Project Management