Data Solutions Delivery Lead
hace 1 semana
**About Us**
Cts is a global company that sits at the intersection of cutting-edge medical science and innovative digital technology. As a global company, the resources and opportunities for growth and development are plentiful, including global and local cross-functional careers, a diverse learning suite of thousands of programs, and an in-house marketplace for rotations and project work.
**About the Role**
This position will be a key lead for Data Solution delivery, located at a global hub. The role will require 10% travel as defined by the business (domestic and/or international).
**Key Responsibilities:**
- Lead the design, development, and deployment of DnA product/services encompassing technology adoption, security, and compliance, and business process change.
- Incubate and adopt emerging DnA technologies, launch and deliver products/services faster with rapid prototyping and iterative methods to prove and establish value.
- Demonstrate abstraction of DnA patterns and drive enterprise-wide scalability, reusability, and sustainability of platforms/services.
- Focus and align DnA 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 DnA innovation using appropriate people, processes, partners, and tools.
- Identify and develop DnA capabilities and ecosystem partnerships in alignment with Digital strategy and in support of Enterprise architecture and Integration.
**Accountability:**
- 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.
- Take decisions on the 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.
- Decides on the program timeline, governance, and deployment strategy.
**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.
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