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Associate Director Data Solutions Delivery
hace 2 meses
About the Role
This position will be located at a global company, at the intersection of cutting-edge medical science and innovative digital technology.
Responsibilities:
- Lead the design, development, and deployment of data solutions, 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 and iterative methods to prove and establish value.
- For identified data technologies, launch and deliver to enterprise scale, ensuring value is derived.
- 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.
Requirements:
- Solid understanding of analytical and technical frameworks for descriptive and prescriptive analytics.
- Strong familiarity with AWS, Databricks, and Snowflake service offerings.
- Production experience delivering data lake projects, including 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.
- Solid foundation in analytical data life cycle management.