Head of Data

JOB DESCRIPTION

The Data Director establishes the organisation's data strategy and framework, fostering a culture of compliance to data privacy regulations. He is accountable for the quality, accessibility, analysis and management of data to inform business strategy, decision-making and drive performance. He designs initiatives and programs to realise the optimal business value derivable from the organisation's data assets. He formulates data project prioritisation and resourcing strategies and establishes performance measures to evaluate outcomes data solutions. He identifies potential intellectual property (IP) opportunities from analyses and insights from market intelligence reports, and advises the business on infringements against the organisation's IP related solutions. He creates a shared vision and objectives on the use of data in the organisation, building strategic relationships with key business and industry stakeholders to achieve business goals.
Key responsibilities:
Establish data strategy
Establish the organisation's data and AI strategy, data privacy policies, and the Ethics and Governance framework
Align data and AI strategy, priorities and plans of the data function to the organisation's vision and mission
Formulate approaches to maximise the value of data analytics capabilities and technological investments for the organisation
Develop strategies to ensure seamless integration of technologies with workflows and processes across the organisation
Promote the adoption of industry leading practices and new data management technologies across the organisation
Optimise business value from data
Design data and AI driven initiatives to leverage the value of data assets in the organisation
Lead the identification of high business value business opportunities through application of data and AI solutions
Advise the team on new and innovative tools and techniques to derive greater value from data
Determine and showcase the potential value and impact of analytics and intelligent systems on existing business processes
Formulate objectives and requirements from a business perspective
Formulate project prioritisation and resourcing strategies for AI and Data Science projects across the organisation
Establish performance measures to evaluate data and AI initiatives, programmes, and value derived from effective data management
Advise the team on new and innovative tools and techniques to derive greater value from data
Manage intellectual property (IP) strategies, processes and procedures
Review emerging trends and intelligence, and analyse technology landscape reports and analyses to identify potential IP opportunities
Oversee systems and processes to manage IP related to AI solutions and/or models
Act as a subject matter expert and resource person for infringements against the organisation's IP related to AI solutions and/or models
Build strategic relationships
Build strategic relationships and alliances with key business and industry stakeholders, and partners to achieve organisational objectives and maximise the value of investments
Develop a stakeholder management plan to create shared vision and objectives on the use of data and AI in the organisation
Lead engagement initiatives with key leaders and senior stakeholders to obtain buy-in for data and AI initiatives
Source for data analytics opportunities for the business and ensure data and indo compliance with business policies and external legal requirements
Develop organisation's data capabilities
Develop strategies and plans to build capabilities within the Data and Artificial Intelligence function
Drive talent management initiatives to attract, motivate and retain talent for Data Science and AI teams
Ensure AI solutions and deployment is guided by organisation's corporate values
Lead succession planning and management for key leadership roles in the Data and Artificial Intelligence function
Establish BI standards and governance
Develop standards, policies and procedures for the form, structure and attributes of the BI tools and systems
Create long-term data governance initiatives that serve to improve data quality across all systems over time
Provide guidance on best practices related to BI data governance
Manage operations and BI resources
Review operational strategies, policies and targets across teams and projects
Develop strategies for resource planning and utilisation
Establish performance indicators to benchmark effectiveness of learning and development programs against best practices
Implement succession planning initiatives for key management positions
Manage people and organization
Review operational strategies, policies and targets across teams and projects
Develop strategies for resource planning and utilization
Review the utilization of resources
Oversee the development of learning roadmaps for teams and functions
Establish performance indicators to benchmark effectiveness of learning and development programmes against best practices
Implement succession planning initiatives for key management positions

JOB REQUIREMENT

Mastery skills:
Focus on results
Set vision, directions for individual and organization growth
Lead connections
Build and grow teams
Innovate & lead from the future
Partnership Management
Enterprise Architecture
Expertise skills:
Budgeting
Business Needs Analysis
Data Ethics
Data Governance
Data Strategy
Data Design
Data Engineering
Emerging Technology Synthesis
Research
Strategy Planning

WHAT'S ON OFFER

Laptop
Insurance
Travel opportunities, Annual Leave
Allowances
Uniform
Incentive bonus
Health checkup
Training & Development
Salary review
Business Expense
Seniority Allowance
Sport Club

CONTACT

PEGASI – IT Recruitment Consultancy | Email: recruit@pegasi.com.vn | Tel: +84 28 3622 8666
We are PEGASI – IT Recruitment Consultancy in Vietnam. If you are looking for new opportunity for your career path, kindly visit our website www.pegasi.com.vn for your reference. Thank you!

Job Summary

Company Type:

Animal Feed Manufacturing

Technical Skills:

Data, Data Science, Data Engineering, Data Analyst

Location:

Ho Chi Minh - Viet Nam

Working Policy:

Salary:

Negotiation

Job ID:

J01614

Status:

Close

Related Job:

SME Digital Banking Head

Ha Noi - Viet Nam


Product, Bank

Lead the development and execution of the SME business strategy in line with overall corporate goals. Identify and capitalize on growth opportunities within the SME sector and create actionable business plans. Continuously monitor market trends, competitor activities, and regulatory changes to adapt strategies effectively. Drive the acquisition of new SME clients and strengthen relationships with existing ones. Develop and oversee the implementation of innovative SME banking products and services, including loans, deposits, trade finance, and digital solutions. Work closely with marketing teams to design campaigns targeting the SME segment. Establish, lead, and mentor a high-performing SME banking team, including relationship managers and product specialists. Set clear performance targets and ensure the team meets or exceeds revenue, profitability, and customer satisfaction goals. Collaborate with the credit risk team to establish prudent risk assessment frameworks for SME lending. Monitor credit quality and minimize non-performing loans (NPLs) to ensure a healthy portfolio. Act as the key point of contact for SME-related partnerships and collaborations with external stakeholders. Represent the organization in SME forums, conferences, and events to enhance brand visibility. Improve customer experience and operational efficiency by streamlining processes and leveraging technology and digital platforms to enhance service delivery for SME clients. Ensure compliance with local and international banking regulations and maintain robust internal controls and reporting mechanisms for all SME banking activities.

Negotiation

View details

Product Manager (Data & Models)

Ho Chi Minh - Viet Nam


Product

  • Product Management
  • AI

Designing data strategy and model integration for creating efficient data pipelines, evaluation frameworks, and annotation systems to maintain high-performance LLMs. Responsible for ensuring data quality standards and implementing bias mitigation and privacy-preserving techniques. Defining the product's core model roadmaps, taking into account technical feasibility, user needs, and ethical considerations. Collaboration with researchers to incorporate experimental breakthroughs into deployable features. Partnering with Engineering and Research teams to ensure model development aligns with product goals and advocating for transparency in model decision-making to build user trust. Analyzing usage patterns from open-source communities (Discord, Reddit, GitHub) to refine model behavior and address real-world edge cases, contributing to community-driven model evolution. Setting performance benchmarks, cost efficiency, and resource utilization standards for model scalability and reliability.

Negotiation

View details

Senior Data Analyst, Anti-spoofing Operation

Ho Chi Minh - Viet Nam


Product

  • Data Analyst
  • Data Engineering

Lead and develop analytical initiatives to address fraud detection challenges, from problem definition through implementation, monitoring, and continuous optimization. Spearhead strategic efforts to combat emerging fraud patterns and develop innovative detection approaches through data analysis, testing, and impact measurement. Design and implement production-grade data pipelines, automated workflows, and advanced analytical frameworks using statistical methods, machine learning, and geospatial analysis. Conduct in-depth analyses of complex fraud operations and develop behavioral analytics systems. Translate technical findings into actionable recommendations for leadership, product teams, and engineering. Lead compliance analytics initiatives and define evaluation metrics for new features. Provide technical guidance and mentorship, establish best practices, and contribute to hiring top talent in analytics.

Negotiation

View details