Head, Data

1 month ago


Singapore UPPER SPRING CONSULTING PTE. LTD. Full time
Roles & Responsibilities

We are helping our Healthcare client to look out for a Head, Data to lead in the Digital and Information Technology Department.


You will support the Director in developing data analytics and AI strategy and initiatives; provide oversight in the development of the IT data analytics platform, manage teams, and ensure efficient and effective use of data to support business decisions.


Responsibilities

  • Assist the Director in developing and implementing the organization's data analytics and AI strategy in alignment with its business goals and objectives.
  • To lead, manage and mentor a team of IT professionals of different backgrounds, promoting collaboration, and ensuring effective communication and coordination.
  • Identify training and development needs, providing opportunities for skill enhancement and career growth for team members.
  • Establish data governance policies and procedures to ensure data quality, security, and compliance with regulatory requirements, and ensure effective data management and utilization.
  • Manage project progress, identify, and mitigate risks, and resolve any issues or challenges.
  • Collaborate with business stakeholders, other IT teams, and partners, to identify data-driven and AI opportunities and drive business value.
  • Oversee the design and implementation of data infrastructure, architecture, and systems, including data warehouses, data lakes, and business intelligence tools.
  • Ensure utilization and adoption of developed analytics products by embedding data and insights into digital applications and business processes.
  • Perform outsourcing management to ensure that contractual obligations are met, and the project’s needs.
  • Manages vendor relationships and ensures vendors fulfill per-contract requirements.
  • Manage IT procurement, evaluate vendor proposals, and make recommendations for vendor selection and procurement decisions.
  • Ensure compliance with applicable laws, regulations, and industry standards regarding data privacy, security, and IT operations.
  • Stay current with industry trends, emerging technologies, and best practices in data management and analytics.
  • To foster positive relationships and effective communication channels with internal/external stakeholders.
  • Brief and train business stakeholders on developed analytics products.
  • Maintains and updates the quality records according to the standard guidelines on identification, filing, storage, maintenance, and disposition of these records.
  • Covers duties of colleagues in their absence
  • Performs any other job-related duties as assigned.

Requirements

  • Bachelor’s or Master’s degree in computer science, information systems, statistics, or a related field.
  • More than 10 years of working experience with at least 3 years in managing teams, with a track record of managing data analytics projects.
  • Strong understanding of data governance, data quality, data security, and regulatory compliance requirements.
  • Excellent Interpersonal and leadership skills to manage multiple projects at one time with the ability to work in a fast-paced environment.
  • Good knowledge of project management both waterfall and agile including managing contracts, project budgets, work breakdown structures, and systems integration.
  • Proficiency in data technologies and tools, such as SQL, Hadoop, Spark, Python, R, Tableau, and machine learning framework
  • Strong understanding of cloud-based data platforms and analytics technologies
  • Familiarity with AI tools and their application in enhancing data insights and user efficiency.
  • Strong strategic thinking and problem-solving abilities.
  • Possess healthcare domain knowledge.

Tell employers what skills you have

Tableau
Vendor Relationships
Machine Learning
Hadoop
Data Management
Agile
Systems Integration
Information Technology
Data Quality
Data Governance
SQL
Python
Infrastructure Architecture
Business Intelligence Tools
Statistics
Data Analytics
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