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The primary role of the Director of Data and Analytics Engineering within the Global Data and Intelligence Platform (GDP) team is to lead the delivery of trusted, self-service analytics solutions enabling data-driven decisions across the corporate functions - Finance, Supply Chain, People, QARA etc., ensuring that we have the tools, capabilities, and insights needed to make data-driven decisions. This role will be responsible for developing and implementing a strategic vision for data and analytics engineering, as well as for building and leading a high-performing team. This role will be a thought leader in AI to drive the application and adoption of emerging AI-powered data and analytics engineering tools, and for building a foundation of integrated data to enable AI-driven experiences across these functions. This role works closely with customers and other stakeholders to understand and define customer needs.
Job Responsibility:
Implement data pipeline integrations and solutions, incorporating highly scalable cloud computing and large-scale data stores, including data lakes, data warehouses, and data marts
Partner with business leaders to identify and address their data and analytics engineering needs, and data scientists/analysts to determine which data is needed for analysis and provide the required data and analytics engineering solutions
Develop and implement a data governance framework to ensure the accuracy, consistency, and security of data
Focus on the development and implementation of strategic and operational objectives that help achieve the organizational mission. Implements organization strategies through the effective direction and management of employees and resources
Regularly interacts with executives and/or major customers
maintaining relationships with key stakeholders at al levels in the organisation
Interactions frequently involve special skills, such as negotiating with customers or management or attempting to influence senior-level leaders regarding matters of significance to the organization
Provides leadership to managers, supervisors, and/or professional roles
Collaborate with other data, analytics, and technology functions across the organization on analytics engineering solutions, share best practices and insights, and lead the adoption of enterprise analytics technologies
Requirements:
Bachelor’s degree in computer science, Data Science, or related fields
Minimum of 12 years of experience in Data and Analytics Engineering, especially in Supply Chain or Finance domains
Experience in technologies like Snowflake, SQL, dbt, and Python is required
Proven ability to work cross-functionally, develop analytics solutions to challenges, and drive the implementation of the solution
Ability to work well through ambiguity, confidence in making tough calls and leading through adversity with a sharp focus on the eventual right outcomes
Excellent communication skills with an ability to translate complex technical concepts into easy-to-understand stories and insights
Strong work ethic, commitment to sweat the details with extreme ownership and end-to-end thinking
Nice to have:
Looks beyond existing methodologies and own discipline to define and resolve complex problems, has in-depth knowledge of organizational objectives
Experience with AI and machine learning, with a record of practical application of these technologies
What we offer:
Competitive Salary Package
Free Onsite Gym
Employee Stock Purchase Program
Comprehensive Insurance Coverage – Including Life, Total & Permanent Disability (TPD), and Income Protection
Collaborative culture – work with industry-leading experts in a supportive, fast-paced environment
Career growth – thrive in a world-class tech ecosystem with global opportunities