Total 212 Manager level Science / R&D / Research job vacancies

• Own Data Science for a specific-market/industry on new and already established products, services and design.
• Be a Data Science business partner for country / cluster leaders, commercial, product, and technology leaders to achieve country specific goals including revenue and EBITDA and other objectives.
• Regularly meet directly with clients to understand strategic business needs, translate them into analytical strategies and offer innovative solutions driven through state of the art methodologies in Data Science.
• Support Client and Commercial teams with Data Science design and methodological questions.
• Play a leading role in the application of data and analytics strategies in support of clients’ business needs.
• Innovate and create out of the box solutions by leveraging large and diverse data sets and state of the art technologies.
• Collaborate and align with other Data Science team units to deliver and prioritize objectives.
• Enable Data Science technology solutions on the ground and ensure solutions meets client needs.
• Leverage DSCi Methods, Product and Technology teams to bring to the market services and solutions.
• Contribute to identifying third parties and evaluate their capabilities and data sets in order to develop new solutions.
• Design and conduct studies, tests and use advanced analytics techniques to build proof of concept and prototypes for use cases.
• Enable your team to focus on innovation and contribute to the company's objectives.
• Coach and develop junior data scientists.
• Lead the team and provide performance objectives

Key Responsibilities of the Role:

Agile & Program Management:

1. Own product delivery execution, ensuring on-time, high-quality releases.
2. Implement and govern Agile best practices for efficient planning, execution, and value delivery.
3. Drive SAFe and Lean portfolio management, ensuring strategic alignment across products.
4. Establish clear OKRs/KPIs to measure and enhance Agile delivery efficiency.

Technical & Delivery Leadership:

1. Collaborate with engineering and architecture teams to ensure solutions align with cloud-native, microservices, and SaaS-based architectures.
2. Manage technical dependencies and risks, ensuring smooth cross-team execution.
3. Enable teams to adopt DevSecOps, CI/CD pipelines, test automation, and observability for optimized software delivery.
4. Foster a culture of continuous improvement, automation, and performance optimization.

Stakeholder & People Management:

1. Engage with business and product stakeholders, translating business goals into Agile execution.
2. Lead and mentor Scrum Masters, Product Owners, and Agile teams, enhancing Agile maturity.
3. Drive collaborative decision-making, ensuring transparency and alignment across functions.
4. Proactively address challenges, promoting a culture of accountability and problem-solving.

Technical Skills:

1. Strong Agile and SAFe expertise, including PI Planning, backlog management, and Agile metrics.
2. Hands-on experience with Java, Microservices, Cloud-Native architectures, and DevSecOps pipelines.
3. Exposure to Kafka, Kubernetes, AWS services, Spring Boot, and Open API specifications.
4. Understanding of performance, security, and scalability considerations in digital banking platforms.
5. Experience in test automation, observability, and cloud-based CI/CD workflows.
6.  
7.  

Soft Skills:

1. Leadership & Influence: Ability to drive Agile culture and mindset across teams.
2. Collaboration & Stakeholder Management: Strong engagement with business, product, and engineering teams.
3. Strategic Thinking & Decision-Making: Align Agile execution with business goals.
4. Coaching & Mentoring: Enable teams to adopt Agile best practices and enhance team performance.
5. Proactive Problem-Solving: Identify risks early and implement mitigation strategies.

What drives our teams:

1. Agile at Scale: Deliver high-quality digital banking products with lean, iterative execution.
2. Customer-Centric Innovation: Build products that align with user needs, regulatory shifts, and market trends.
3. Scalability & Efficiency: Leverage Cloud-Native, SaaS, and AI-driven automation to enhance product delivery.
4. Collaboration & Transparency: Foster a culture of trust, accountability, and knowledge-sharing.
5. Continuous Learning & Growth: Experiment with new technologies, Agile frameworks, and automation strategies.

What We Offer:

1. Competitive compensation and benefits package.
2. Opportunity to work on cutting-edge banking and fintech solutions.
3. A collaborative, Agile-driven work environment with strong leadership support.
4. Access to latest tools, technologies, and training for continuous growth.
5. A high-performance culture with a focus on innovation and career development.

Total Experience Expected: 14-18 years