Responsibilities:

Team Leadership & Development:

· Build, onboard, lead and mentor a multifunctional team of Data, AI, IT, and Quality Engineers, fostering a collaborative, multi-skilled, and results-oriented environment, ensuring state-of-the-art Quality Management by implementing IT and AI solutions.

· Drive team development through resource planning, performance management, technical guidance, and fostering career growth.

· Delegate tasks effectively, monitor progress, and provide constructive feedback. Promote a culture of ownership, accountability, and continuous improvement.

· Oversee administrative tasks, including budget control and personnel approvals.

Collaboration & Communication:

· Support Group IT service owners to manage the team hiring, development, performance review and compensation as local people lead.

· Collaborate and report to global executives, managers, and experts across Europe and the US.

· Partner with stakeholders to align on quality goals, manage expectations, and provide regular progress updates.

· Build strong relationships with global IT and Quality leaders to foster collaboration.

· Support deployment and change management for new solutions, and actively pursue continuous learning.

IT Development & Quality Process:

· Facilitate data deployment in KION cloud environments and automate AI solutions for data insights.

· Actively contribute to the software development lifecycle, providing expertise from the QM business requirement translation into user stories and design specifications to deployment, defect management, and continuous improvement.

· Ensure adherence to corporate standards, IT security, and statutory requirements, and certification requirements (TSAX, etc.).





· Collaborate cross-functionally to resolve issues and deliver solutions promptly.

· Build an understanding of Quality Management strategies, systems, methodologies, and leverage the KION IT landscape to drive effective process improvements and optimize quality tools.

· Evaluate and leverage already existing quality tools.

Data & AI Integration:

· Drive the adoption of data-driven quality assurance practices using data analytics and AI/ML techniques.

· Demonstrate end-to-end experience in data-driven product development.

· Collaborate with data scientists, developers, data engineers, and quality engineers.

Qualifications:

Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

Experience

· 5+ years of experience in software or AI development, with 3+ years in a leadership role.

· Proven experience building and managing high-performing teams.

· Solid understanding of software development lifecycles (Agile, Waterfall).

· Experience in manufacturing industries or Quality Management preferred.

Skills:

· Leadership: Exceptional leadership, communication, and interpersonal skills. Ability to inspire, motivate, and develop team members.

· Data & AI: Strong understanding of Data Analytics principles and AI/ML concepts. Experience with data analysis tools (Databricks, Dremio) is a plus.



Ability to connect quality data across multiple platforms (JIRA, SAP, Snowflake) and translate it into actionable insights for executives

· IT Development: Solid understanding of software development principles and practices. Ability to read and understand code in at least one programming language (Java, Python, SQL, R).

· Quality Management: Basic knowledge and strong affinity of quality assurance methodologies, standards, and best practices.

· Communication: Excellent written and verbal communication skills.

· Ownership & Accountability: Takes ownership of responsibilities and is accountable for results.

· Learning Agility: Demonstrated ability to learn new technologies and adapt to changing environments quickly.

· Process Management: Solid capability to think in processes and design practical solutions for business processes.

· Experience with cloud-based testing (AWS, Azure, GCP).

Bonus Points:

· Certifications in Quality Assurance (e. g. ISO9001).

· Experience with specific AI/ML platforms, frameworks and libraries (e. g. TensorFlow, PyTorch, LangGraph).

· Experience with performance testing tools (JMeter, LoadRunner).

· Experience in relevant industry (e.g., Automotive, Manufacturing).

· Experience working with globally distributed teams.

· Problem-Solving & Quality Context: experience with structured Problem Analyis and Problem Solving Methods such as RCA/8D, FMEA, etc.

Benefits:

[List your company's benefits package. Be specific and highlight any benefits that are particularly attractive in the Indian market (e.g., health insurance, retirement plans, paid time off, professional development opportunities).]

📌 Team Lead - Quality Engineering (Data & AI Focus) (Pune)
🏢 CJET Tech Solutions
📍 Pune