Job Description SummaryAs 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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Additional Information

Relocation Assistance Provided: No