Working experience: No Experience

Senior Engineering Manager – Data & AI is responsible for leading high-performing engineering teams that deliver scalable data products, AI/ML capabilities, analytics foundations, and reliable platforms across Maersk. The role combines people leadership, stakeholder partnership, product delivery, data architecture, and operational excellence to translate business priorities into secure, resilient, production-grade technology solutions. It requires strong experience in data engineering, cloud platforms, AI-assisted development, engineering governance, and end-to-end delivery from prototype to production adoption.JL5 Senior Engineering Manager – Data & AI teamWHO WE AREAt Maersk, we are redefining global logistics through data, platform engineering, and AI-driven innovation. As part of this journey, we are building scalable platforms and intelligent systems that enable faster decision-making, operational efficiency, and seamless integration across the enterprise.The PositionAs a Senior Engineering Manager in the Data & AI team, you will lead engineering teams responsible for delivering scalable data products, AI-enabled capabilities, analytical foundations, and reliable platforms that power critical business decision-making across Maersk.You will be accountable for building and engaging a high-performing team, shaping pragmatic data architecture, partnering with product and business stakeholders, and ensuring successful delivery of data, analytics, and AI/ML solutions. The role requires a hands-on, forward-looking leader who can connect business problems to technical outcomes, guide teams from quick prototypes to production-grade products, and leverage modern AI coding agents to accelerate experimentation, solution design, and engineering delivery.Key Responsibilities Team Leadership, Engagement & Engineering ManagementBuild, lead, coach, and engage high-performing engineering teams across data engineering, AI/ML engineering, analytics enablement, and platform deliveryCreate clarity on priorities, ownership, ways of working, delivery commitments, and engineering expectations across the teamSupport resource and demand planning, capability building, knowledge sharing, and continuous development of team membersStakeholder Management, Requirements & Business PartnershipCollaborate with product owners, business stakeholders, leadership, architecture, data science, and platform teams to understand business priorities and translate them into executable technology outcomesAct as a trusted partner and voice of customer success by ensuring solutions address real business needs, adoption, usability, operational reliability, and measurable valueDrive clarity on requirements, trade-offs, timelines, risks, dependencies, and priorities across cross-functional stakeholdersProduct Delivery, Prototyping & InnovationLead end-to-end delivery of data products, analytics capabilities, AI/ML solutions, dashboards, and platform capabilities from discovery through production adoptionGuide teams to quickly validate ideas through prototypes, proofs of concept, and iterative delivery before scaling validated solutionsUse modern AI coding agents and engineering automation to accelerate prototyping, solution exploration, developer productivity, and delivery effectivenessData Architecture, AI/ML Engineering & Platform ExcellenceShape scalable, governed, secure, and reusable data architecture across data engineering, analytics, visualization, AI/ML,



and GenAI use casesProvide technical leadership on data modelling, data pipelines, orchestration, cloud data platforms, integration patterns, and production-grade AI/ML engineering practicesEnsure solutions are horizontally scalable, resilient, observable, secure, and aligned with enterprise architecture and information security expectationsCross-Functional Delivery & Architecture GovernancePartner across Product, Analytics, Data Science, AI, Platform, Architecture, Security, and business teams to deliver pragmatic end-to-end solutionsTranslate business requirements, user feedback, and problem statements into delivery roadmaps, technical direction, architectural decisions, and implementation plansDrive informed decision-making by balancing speed, quality, resilience, scalability, cost, security, and business valueSupport integrations across cloud, enterprise applications, and data ecosystemsOperational ExcellenceChampion engineering excellence, DevOps/DataOps practices, Site Reliability principles, observability, monitoring, incident management, and continuous improvementEnsure team-owned products and platforms are reliable, scalable, secure, supportable, and production-readyDrive automation, operational readiness, support models, and continuous learning across data, analytics, and AI/ML solutionsOur Ideal CandidateExperienced engineering leader with proven ability to build, manage, coach, and engage high-performing teamsStrong stakeholder management skills with the ability to engage business, product, leadership, architecture, and platform stakeholdersStrong product delivery mindset with experience taking ideas from discovery and prototype through production adoption and continuous improvementHands-on technical leader with solid understanding of data engineering, SQL, data modelling, data pipelines, orchestration, cloud platforms, visualization, and AI/ML engineering conceptsComfortable using AI coding agents and modern engineering tools to rapidly prototype solutions, test ideas, and accelerate deliverySkilled communicator and collaborator with robust ownership, problem-solving ability, and passion for continuous learning and innovationRequired Skills/ExperienceMS or BS in a Computer Science or Engineering discipline.More than 10 years of technology experience, including significant experience leading engineering teams and delivering data, analytics, platform, or AI/ML productsExperience managing team priorities, delivery commitments, stakeholder expectations, resource planning, and capability developmentStrong understanding of data architecture, SQL, data modelling, data pipelines, orchestration, cloud data platforms, visualization enablement, and AI/ML engineering practicesExperience with cloud-ready, scalable, resilient, secure, observable, and high-availability platforms and productsHands-on familiarity with AI-assisted development, AI coding agents, or modern engineering automation for rapid prototyping and productivity improvementExperience with DevOps, DataOps, Site Reliability principles, CI/CD, monitoring, observability, information security, troubleshooting,



and incident supportMaersk 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]. CORE SKILLSAI & Machine Learning: The field of artificial intelligence (AI) involves creating systems that can perform tasks that typically require human intelligence. Machine learning (ML) is a subset of AI that uses algorithms to learn from and make predictions based on dataProficiency Level: AdvancedData Product Development: The creation of products that leverage data to provide insights, predictions, or other value to users.Proficiency Level: AdvancedData Engineering: The practice of designing and building systems for collecting, storing, and analyzing data at scale.Proficiency Level: AdvancedData Architecture: The design and structure of data systems, ensuring that data is stored, managed, and utilized efficiently Proficiency Level: AdvancedSPECIALIZED SKILLSCloud Computing: A field of AI that trains computers to interpret and make decisions based on visual data from the world, such as images and videosData Governance and Compliance: The management of data availability, usability, integrity, and security in an organization, based on internal data standards and policies. Ensuring that an organization adheres to external regulations and internal policies, managing risk, and maintaining ethical standardsData Security: Protecting data from unauthorized access, use, disclosure, disruption, modification, or destruction.Business Intelligence: Protecting data from unauthorized access, use, disclosure, disruption, modification, or destruction.Customer Insights: The analysis of customer data and feedback to understand their behaviors and preferences, helping businesses make informed decisionsCybersecurity Awareness: Understanding and implementing practices to protect systems, networks, and programs from digital attacksDefinition of Proficiency Levels:Foundational: This is the entry level of the skill, typically expected when starting a new role or working with the skill for the first time. You rely on strong manager support, coaching, and training as you build the capability to progress to higher proficiency levels.Proficient: This is the level at which you are considered effective in the skill. You demonstrate more than just functional competence—you begin to have a noticeable impact in your role by applying the skill consistently and meaningfully. You require only minimal support, coaching, or training to apply the skill successfully.Advanced: This is the level where you move beyond meeting expectations to actively leading, influencing, and delivering considerable impact across the wider business. You are seen as a role model, demonstrate the skill independently, and require little to no manager support.

📌 Senior Engineering Manager (India)
🏢 Maersk Logistics & Services Poland Sp. z o.o.
📍 India