Novartis

Global Solution Engineer, Data & Analytics Platform, Technology

11 October 2024
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Deadline date:
£67000 - £125000 / year

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:

  • ·Actively contribute to professional and reliable technology delivery for business systems, Big Data platforms, and analytics processes for business domain/function(s) in scope.

  • Accountable to plan, define, and develop high-level designs for solutions

  • Building Platform Capabilities to enable AI, ML and Gen AI Use Cases

  • Working with Enterprise Architects to align solution architecture with enterprise architecture standards

  • Actively contribute to on time, within budget, compliant, secure, and quality delivery of portfolio/ respective engagements.

  • Effectively engage with the chosen SI Partner(s) and collaboratively strive to deliver business value.

  • Contribute enterprise grade and state of the art Solution Design & Architecture with maximizing re-usability, configurability and scalability

  • Ensure top class and state of the art engineering delivery, code management, automation and strive for highest efficiency.

  • Supporting Project Managers in developing solution roadmaps, incl. evaluating change & run decisions

  • Ensure the overall user experience is taken into account when designing deploying new solutions and services.

  • Ensure adherence to Security & Compliance policies and procedures as well as with other Sandoz guidelines and standards.

  • Working with Supplier Management to evaluate options for solutions and services ensuring external requirements and features are incorporated into solution designs

Key performance indicators:

  • Delivery on agreed KPIs including business impact.

  • Launch of innovative technology solutions across Sandoz at scale.

  • Business impact and value generated from TT solutions.

  • Operations stability and effective risk management.

  • Feedback on customer experience.

           

Minimum Requirements:
Work Experience:

  • ·        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

  • Ideally already worked on (AWS) platform solutioning for end-to-end design and migration of applications (having at least 5+ applications migrated on AWS)

  • Experience in client facing role working with application teams and cloud operations from implementation until/including transition to operations.

  • Proven experience (5+years) in engineering and software architecture design for big data solutions.

  • Experience with hybrid cloud environments is a plus

  • Experience in product delivery and architecture, including as an Architect of enterprise solutions

  • 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.

  • Experience with change management through process engineering and/or participating in large-scale IT change / transformation programs.

  • Excellent written, oral communication and presentation skills to present features and solution recommendations to senior stakeholders.

Skills:

  • Strong understanding of enabling AI, ML and Gen AI platform capabilities

  • AWS Networking, Security, DataBricks (Dela Lake), Virtual Machine & DB set-up. Wep/App services, storage account, load balancer, API gateway & other data integration

  • 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