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.

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