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Jobs in Singapore   »   Jobs in Singapore   »   Information Technology Job   »   Technology Delivery Lead
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Technology Delivery Lead

Elliott Moss Consulting Pte. Ltd.

Elliott Moss Consulting Pte. Ltd. company logo

Key Responsibilities:

Strategic Leadership:

· Develop and execute the strategic vision for the data analytics platform, ensuring alignment with organizational objectives.

Platform Architecture:

· Lead the design and maintenance of a scalable, cloud-based data platform using Databricks Lakehouse, AI, and ML technologies.

Program and Project Management:

· Oversee data analytics project portfolios, ensuring timely delivery within scope and budget while coordinating cross-functional teams.

Technical Expertise:

· Provide guidance on data warehouse solutions, cloud infrastructure, AI/ML model implementation, and scalable data pipelines using tools like Terraform and CloudFormation.

Compliance & Governance:

· Ensure adherence to security, data governance, and regulatory requirements, developing and enforcing policies to protect data integrity and confidentiality.

Innovation & Improvement:

· Drive innovation by staying updated on emerging technologies and fostering a culture of continuous improvement.

Requirements:

Education:

· Degree/master’s in computer science, IT, or equivalent.

· Proven expertise in AWS cloud services, Databricks Lakehouse, and AI/ML technologies.

Technical Skills:

· Proficiency in databases (e.g., Oracle, MS SQL), data modelling, statistical computing (e.g., Python, R).

· Expertise in cloud-native technologies, scalable pipelines, and data visualization tools (e.g., Tableau, Power BI).

· Knowledge of MLOps, microservices, and serverless computing.

Certifications:

· AWS Cloud Practitioner or Architect, Databricks Certified Data Engineer (preferred), PMP (desirable).

Leadership:

· Proven ability to manage high-performing teams, complex projects, and engage stakeholders effectively.

Preferred Qualifications:

· Experience in healthcare informatics and data governance.

· Familiarity with analytics stakeholders, including clinicians and policymakers.

Work Environment:

· Collaborative and innovative environment focused on impactful public health and IT initiatives with opportunities for professional growth.

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