DFI Retail Group

Is this your next challenge in Data AI Automation?

The challenge is to:

Data, AI, Automation Strategy:

• Define a comprehensive data platform strategy for our multi-market, multi-format organization with scale, cost, and business value in mind
• Develop and execute a comprehensive data, AI and automation roadmap.
• Establish “Automation as a Service” and drive continuous improvement across functions, formats and markets.
• Establish and drive data and AI governance, and define a build / buy strategy with decisioning framework for future AI solutions
• Establish standards and governance for AI risk management, including security, privacy, compliance, and ethics.
• Drive regional and local business unit collaboration around value-driven data governance.

Technical Leadership:

• Architect scalable and Gen-AI ready data infrastructure, including the design and implementation of data solutions at enterprise scale.
• Lead the development and management of a Unified Data Platform (UDP) and build unified data model to scale
• Act as a key player in future master data management design 
• Oversee the integration of modern data capabilities, ensuring scalability, repeatability, and security across multiple use cases.
• Guide the advancement of cloud infrastructure capabilities to support data and AI requirements.
• Deliver Gen-AI data solutions to replace traditional report creation 

Project Management and Delivery:

• Identify, prioritize, and deliver high-impact data projects across business functions.
• Manage an annual pipeline of AI and data initiatives, working cross-functionally with various departments.
• Establish implementation processes, from inception to deployment and retraining.
• Conduct ongoing research and development, delivering experimental projects based on priorities defined by AI and data governance

Team Leadership and Collaboration:

• Build and lead high-performing teams of data engineers, automation engineers, data scientists, and DevOps professionals.
• Provide mentorship, training, and career development opportunities for team members.
• Collaborate with C-level executives, business leaders, and cross-functional teams to align AI and data initiatives with business goals.
• Foster a culture of innovation, continuous learning, and data-driven decision-making.

Operational Excellence:

• Manage a data cost to revenue model with rigor 
• Manage data budgets and vendor relationships
• Ensure adherence to global architecture standards, information risk management, and business continuity practices.
• Drive process improvements, change management and operational efficiencies through data and AI capabilities.

Do you have experience in Enterprise Technology and Data?

• Bachelor’s degree in Computer Science, Engineering, or a related quantitative field. 
• 10+ years of professional experience in enterprise technology, with at least 5 years in Data and AI/ML leadership roles.
• Demonstrated expertise in automation technologies, including but not limited to machine learning, deep learning, natural language processing, and computer vision.
• Strong background in data management, big data and analytics technologies, and cloud platforms (e.g., Azure, AWS, Google Cloud).
• Proven track record of successfully delivering large-scale data projects with measurable business impact.
• Experience in setting up and managing offshore teams of data engineers, data architects, analytics specialists and DevOps professionals.
• Proficiency in programming languages such as Python, R, or Java for AI model development and data manipulation.
• Strong understanding of data governance, privacy, and regulatory compliance in a global context.
• Good exposure to Gen-AI governance and experiments
• Excellent communication and presentation skills, with the ability to articulate complex technical concepts to non-technical stakeholders.
• Experience working in multinational, matrix organizations and appreciation for cultural sensitivities.
• Willingness to travel, primarily within Asia.