Stolt-Nielsen Limited
SNL-BT Digital Innovation Centre-Hyderabad-Sr IT Engineering Manager
Be an Early Applicant
Leads and develops a Data and AI engineering organization in a matrix environment. Responsibilities include coaching engineers, managing staffing and career growth, prioritizing shared engineering capabilities, defining quality and productivity metrics, supporting technology adoption, and partnering with Architecture, DevOps, Product, HR, and leadership. The role requires expertise in data engineering, AI/ML, cloud and DevOps ecosystems, data governance, MLOps, Agile delivery, and technical quality management.
Job Description
We are excited to announce an opening for an Engineering Manager – Data and AI at Stolt-Nielsen Digital Innovation Centre. Please find below the details of the role and its responsibilities.
Skills Required:
People leadership, coaching, learning & development, engineering.
Experience Range:
10+ years
Job Description:
About the Role
As an Engineering Manager – Data and AI, you will lead and grow a world-class engineering team within our Digital Innovation Centre. You will shape and nurture a team of specialists who deliver cutting-edge solutions for our business units, while fostering a culture of quality, collaboration, and continuous learning.
In this role, you are not directly assigned to project delivery but instead oversee the engineering discipline (vertical) in a matrix organization. Your engineers will collaborate with various business-aligned product and project teams, while you focus on capability building, mentoring, demand management, and ensuring alignment to technical and quality standards. In this all, you will collaborate with a Domain Architect – Data and AI, who will act as your technical peer.
You will also drive cross-functional initiatives — such as process improvement, skill development, and technology adoption — to continuously elevate our engineering maturity and impact.
At Stolt-Nielsen, we take Digital seriously. As we are further building up our engineering practice, there is ample room for you to contribute, take initiative and shape the future of our ways of working and technology landscape.
What You’ll Do
- Build, coach, and develop a high-performing engineering team with deep expertise in Data and AI
- Manage staffing, development, and career growth for engineers across multiple projects and teams.
- Oversee and prioritize the engineering backlog for your vertical (e.g., tools, frameworks, shared components, reusable assets).
- Collaborate with Architecture, DevOps, and Product leadership to ensure consistent delivery standards and best practices.
- Support innovation and experimentation within your area — staying current with emerging technologies and methodologies.
- Define and measure quality, productivity, and engagement metrics for your engineering discipline.
- Foster a culture of collaboration, ownership, and continuous improvement.
- Partner with HR and leadership to drive recruitment, onboarding, and employee engagement.
- Contribute to strategic discussions around technology choices, skill development, and long-term digital capability building.
What You’ll Bring
- Proven leadership experience in managing technical teams and engineering talent.
- Strong background in data engineering, data science, or analytics, with the ability to understand and guide technical discussions.
- Experience with tools such as Databricks, Python, Spark, Power BI, SQL, and ML and Generative AI frameworks/concepts.
- Understanding of data governance, MLOps, and data platform architectures.
- Familiarity with AI/ML pipelines and model lifecycle management.
- Experience in modern engineering practices such as Agile/Scrum, CI/CD, DevOps, test automation, and cloud-native development.
- Excellent communication and stakeholder management skills; able to bridge between business and technical teams.
- Passion for mentoring, growing people, and building a thriving team culture.
- Strategic mindset with an operational discipline; you balance innovation with delivery excellence.
- Enthusiasm for learning, improvement, and empowering others.
Must Have Skills
- 10+ years of relevant industry experience, including 3+ years in an engineering management or people leadership role.
- Deep understanding of software engineering principles, agile delivery, and technical quality management.
- Hands-on familiarity with modern cloud and DevOps ecosystems (Azure preferred).
- Strong interpersonal and leadership skills, able to inspire and build trust.
- Fluent in English (spoken and written)
#Hybrid
About Us Stolt-Nielsen Limited is a long-term investor and manager of businesses focused on opportunities in logistics, distribution, and aquaculture. The Stolt-Nielsen portfolio consists of its three global bulk-liquid and chemicals logistics businesses – Stolt Tankers, Stolthaven Terminals and Stolt Tank Containers – Stolt Sea Farm and investments in LNG. Stolt-Nielsen Limited is listed on the Oslo Stock Exchange (Oslo Børs: SNI). About the Team Stolt Tankers operates a fleet of 152 sophisticated chemical tankers, providing safe, reliable, and high-quality global transportation services for bulk liquid chemicals, edible oils, acids, and clean petroleum products. Its deep-sea fleet is seamlessly integrated with Stolt Tankers’ regional fleets in Europe, Asia and the Caribbean, and inland barging services in Europe and the Gulf Coast of the US. Stolt Tankers is a division of Stolt-Nielsen Limited.Similar Jobs
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