Chief Domain Officer - Singapore - DHL EXPRESS (SINGAPORE) PTE. LTD.

Description

Role Purpose

The Senior Director of Advanced Analytics is a senior leadership position responsible for leading a team of data scientists, machine learning engineers, and analytics product managers. This role plays a critical role in driving the organization's advanced analytics strategy, leveraging data and technology to extract actionable insights and deliver innovative analytics solutions.

Job Description

• Develop and execute the organization's advanced analytics strategy, aligning it with business objectives.
• Provide strategic guidance and thought leadership in the field of advanced analytics and AI.
• Lead and inspire a diverse team of data scientists, machine learning engineers, and analytics product managers, fostering a collaborative and innovative work environment.
• Oversee the recruitment, hiring, and onboarding of top talent for the advanced analytics team, ensuring a skilled and high-performing team.
• Mentor and develop team members, providing guidance and support to enhance their technical and leadership skills.
• Foster a culture of continuous learning, innovation, and knowledge sharing within the team.
• Collaborate with cross-functional stakeholders to understand business needs and structure a balanced, cross-functional portfolio of advanced analytics solutions.
• Lead the design and execution of complex data analysis, predictive modeling, and machine learning projects to uncover insights and solve business problems.
• Ensure the delivery of high-quality analytics solutions, adhering to timelines, budget, and stakeholder expectations.
• Collaborate with executive leadership to define the vision, roadmap, and priorities for advanced analytics initiatives.
• Communicate the value and impact of advanced analytics to non-technical stakeholders, influencing decision-making and driving adoption.
• Establish and maintain strong relationships with internal and external partners, vendors, and industry experts to leverage best practices and advance analytics capabilities.
• Ensure compliance with relevant data privacy regulations and ethical guidelines in all analytics activities.
• Implement data governance processes and practices to ensure data quality, integrity, and security.
• Stay updated with regulatory changes and industry standards related to advanced analytics and data.

Job Requirements

• Advanced degree or equivalent experience in the quantitative field: Statistics, Mathematics, Computer Science, Engineering, Data Science, or Analytics.
• At least 10 years of multi-disciplined IT experience including:
  - Experience in a large matrixed organization(s), having gained broad expertise managing large, network-wide programs and projects tied to business goals.
  - 10+ years in Data/BI/ML/AI area of expertise
  - 5+ years of experience in a multi-national enterprise
  - Global experience, collaboration, and teaming.
  - Experience in initiating, integrating, and implementing change programs including because of merger and acquisition activity.
• Strong leadership and people management skills, with a proven ability to lead and inspire a diverse team.
• Extensive experience in advanced analytics, data science, and machine learning (ML / AI), with a track record of delivering impactful solutions.
• In-depth knowledge of data analytics techniques, statistical modeling, predictive modeling, and machine learning algorithms.
• Excellent strategic thinking and problem-solving skills, with the ability to translate complex business problems into actionable analytics solutions.
• Exceptional communication and stakeholder management skills, with the ability to influence and collaborate with both technical and non-technical stakeholders.
• Working knowledge of Agile and DataOps.
• Must be able to work collaboratively with cross-functional cross-geographical teams to analyze and understand business needs.
• Good knowledge of at least two functional areas: customer relationships and sales, freight forwarding/express/e-com/logistics operations, pricing, customer service, aviation operations, finance, and billing.