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Data Solutions Delivery Lead
hace 2 meses
This position will require occasional travel as defined by the business.
Key ResponsibilitiesAs a key lead for Data Solutions delivery, you will:
• Lead the design, development & deployment of data products/services encompassing technology adoption, security and compliance, and business process change.
• Incubate and adopt emerging data technologies, launch and deliver products/services faster with rapid prototyping & iterative methods to prove and establish value.
• Demonstrate abstraction of data patterns and drive enterprise-wide scalability, reusability, and sustainability of platforms/services.
• Focus and align data innovation efforts with the Business strategy, IT strategy, and legal/regulatory requirements.
• Establish and update strategies, implementation plans, and value cases to implement emerging technologies.
• Drive data innovation using appropriate people, processes, partners, and tools.
• Identify and develop data capabilities & ecosystem partnerships in alignment with Digital strategy and in support of Enterprise architecture and Integration.
• Has end-to-end accountability for services and products that are incubated, established, and delivered across cross-functional business areas.
• Serves as point of escalation, review, and approval for key issues and decisions.
• Make decisions on resource and capacity plans in line with Business priorities and strategies and close collaboration with delivery teams spanning analytical, master data, and data products.
• Decide on continuous improvement within the team.
• Decide on the program timeline, governance, and deployment strategy.
• Solid understanding of Analytical and technical frameworks for descriptive and prescriptive analytics.
• Strong familiarity with cloud service offerings, including data lake projects, data acquisition, quality, transformation, and publishing.
• Awareness of data product change management and risk mitigation.
• Monitoring and improving data product service delivery offerings.
• Strong collaborative interactions with customer-facing business teams.
• Data product-centric approach to defining solutions.
• Collaborate with business in gathering requirements, grooming product backlogs, driving delivery, and ongoing data product enhancements.
• Agile delivery experience managing multiple concurrent delivery cycles.
• Sound foundation in Analytical Data life cycle management.
At Novartis, we believe that innovative science can help people with diseases and their families. We're a community of smart, passionate people who collaborate, support, and inspire each other to achieve breakthroughs that change patients' lives. We're committed to creating a brighter future together.
