**Job Description Summary** As a Director - Data Architecture, you will be be responsible to provide data architecture and solution design leadership for GE HealthCare's enterprise data platform. In this role, you will be responsible for leading a team of Data Architects and defining the overall data architecture, ensuring alignment with business needs, data governance policies, and technology standards. This is a technically hands-on role requiring a strong understanding of data modeling, data integration, data governance, and cloud-based data platforms. **Job Description** **Key Responsibilities** **Strategic Leadership:** + Developing and executing a data architecture strategy aligned with the company's business objectives and data analytics roadmap. + Defining and maintaining the enterprise data model, data standards, and data governance policies. + Staying abreast of emerging technologies and trends in data architecture, data integration, and data governance, evaluating their potential impact on the data architecture. **Technical Leadership & Architecture:** + Leading the design and implementation of data integration patterns, data pipelines, and data solutions on AWS. + Overseeing the evolution of our data lake, data warehouse, and related data services, ensuring scalability, reliability, and security. + Providing architectural guidance and oversight for data-related projects across the organization. + Analyzing, designing, and developing a solution roadmap and implementation plan based upon a current vs. future state of the business. + Participating in the Enterprise Architecture domain governance model. + Contributing to the development of software, data and technology platforms with reusable components that can be orchestrated together into different methods. + Leading the research and evaluation of emerging technology, industry and market trends to assist in project development and/or operational support actives. **Team Leadership & Development:** + Leading, mentoring and develop a team of Data Architects, providing technical guidance, performance feedback, and career development opportunities. + Fostering a collaborative and innovative team environment. + Promoting knowledge sharing and best practices within the team and across the broader Data Analytics organization. + Managing budgets and strategic inputs into short/long term budget planning. **Collaboration & Stakeholder Management:** + Partnering closely with Data Scientists, Data Engineers, Business Analysts, and other stakeholders to understand their data needs and deliver effective solutions. + Collaborating with Enterprise IT to ensure alignment with overall IT strategy and governance. + Communicating technical concepts and solutions effectively to both technical and non-technical audiences. **Required Qualifications** + Bachelor's degree in Computer Science, Engineering, or a related field. Master's degree preferred. + Strong experience in data architecture, data modeling, or related roles. + Experience in leading and managing technical teams. + Deep expertise in cloud computing, specifically AWS (Amazon Web Services). Experience with services such as S3, EC2, EMR, Glue, Athena, Redshift, Kinesis, Lambda, and IAM is essential. + Proven experience in designing and implementing data lakes, data mesh, data warehouses, and data pipelines. + Strong understanding of data modeling techniques (relational, dimensional, NoSQL). + Experience with data integration tools and techniques (ETL/ELT). + **Technical Expertise:** AWS Cloud Services, Data Modeling, Data Warehousing, Data Lake Architecture, ETL/ELT Processes, Data Governance, Data Security, Metadata Management, Data Lineage. + **Leadership:** Team Management, Mentoring, Strategic Thinking, Communication (written and verbal), Problem-Solving. + **Soft Skills:** Collaboration, Influence, Adaptability, Results-Oriented. \#LI-MT1 \#LI-Hybrid **Additional Information** **Relocation Assistance Provided:** No