1 alternative title for "Senior Domain Director" using "en-US" language - Singapore - DHL EXPRESS (SINGAPORE) PTE. LTD.


    1 month ago

    Default job background
    $120,000 - $200,000 per year Upper Management / Consulting
    Roles & Responsibilities

    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.
    Tell employers what skills you have

    Machine Learning
    Management Skills
    Statistical Modeling
    Customer Relationships
    Data Quality
    Data Governance
    Thought Leadership
    Predictive Modeling
    Stakeholder Management
    Aviation Operations
    People Management