Job Title: P60160021 Business Analytics & AI Lead
Level: JL4
Location: India (Remote)
As a company, we promote a culture of honesty and integrity, and value the trust it allows us to build with customers and employees alike. Our focus on our people is what sets us apart and keeps our customers coming back to work with us!
If you are seeking to be a part of a family, this is the place for you!
We are an integrated logistics company responsible for moving 20% of global trade annually. With a dedicated team of over 110,000 employees across 130 countries, we go all the way to connect and simplify global trade, and help our customers grow and thrive.
Maersk Ground Freight (MGF) offers transportation services like FTL (Full Truckload), LTL (Less Than Truckload), brokerage, cross-border trucking, groupage, and sortation hubs, connecting Maersk or Customer warehouses or depots or cross-dock/consolidation/deconsolidation facilities through a robust network led by best-in-class operations and technology. This integrated network will service multi-channels like B2B, B2C, B2B2C, e-commerce, direct to store, dropship, returns, and more, leveraging asset-based, asset-light, and non-asset models.
Summary:
We are seeking an experienced Data Engineering leader to design, build, and optimize scalable data platforms that power analytics, reporting, and machine learning initiatives. He/She will be be responsible for driving day to day business analytics, supporting the business with insights and driving AI/ML initiatives in business. This role involves leading a cross-functional team of Data Engineers, ML Engineers, and Business Analysts while driving best practices across data pipelines, governance, and workflow automation. You will collaborate closely with business and operations stakeholders to deliver high-impact, data-driven solutions, support forecasting and ML model deployment, and ensure high data quality and reliability across systems. The ideal candidate brings strong expertise in Azure-based data platforms, ETL processes, AI, Machine Learning, Business Analytics, stakeholder management, with a proven track record of mentoring teams and enabling advanced analytics in complex environments.
Key Responsibilities:
- Design and manage scalable data pipelines and architectures across multiple systems
- Lead and mentor a team of Data Engineers, ML Engineers, and Business Analysts
- Drive best practices in data engineering, analytics, and ML workflows
- Support business with insights through business analytics
- Drive/ support EBIT optimization
- Collaborate with business and operations teams to deliver data-driven solutions
- Build and optimize datasets for Power BI dashboards and reporting
- Support forecasting and ML model development/deployment
- Ensure data quality, governance, and reliability across platforms
- Automate repetitive data workflows and improve system efficiency
Key Requirements:
- 8+ years of experience in data engineering / data platform roles
- Proven experience in team handling / mentoring
- Strong expertise in ETL, data pipelines, and Azure data platforms
- Experience supporting BI, analytics, and ML workloads
- Experience forecasting / ML concepts
- Experience in driving AI/ ML projects
- Strong stakeholder management and communication skills
- Experience in logistics / supply chain analytics is a plus
Maersk is committed to a diverse and inclusive workplace, and we embrace different styles of thinking. Maersk is an equal opportunities employer and welcomes applicants without regard to race, colour, gender, sex, age, religion, creed, national origin, ancestry, citizenship, marital status, sexual orientation, physical or mental disability, medical condition, pregnancy or parental leave, veteran status, gender identity, genetic information, or any other characteristic protected by applicable law. We will consider qualified applicants with criminal histories in a manner consistent with all legal requirements.
We are happy to support your need for any adjustments during the application and hiring process. If you need special assistance or an accommodation to use our website, apply for a position, or to perform a job, please contact us by emailing [email protected].
.png)
