Director

Position: Director (Data & Integration)

Location: Bangalore (Hybrid)

Salary: Competitive

About us (Tieto):

We provide customers across different industries with mission-critical solutions through our specialized software businesses Tieto Caretech, Tieto Banktech and Tieto Indtech as well as Tieto Tech Consulting business.

Our around 14 000 talented vertical software, design, cloud and AI experts are dedicated to empowering our customers to succeed and innovate with latest technology.

Tieto's annual revenue is approximately EUR 2 billion. The company's shares are listed on the NASDAQ exchange in Helsinki and Stockholm, as well as on Oslo Børs.

Job Description

• Drive revenue growth by building scalable, market-relevant offerings across the Data & Integration space.
• Champion an AI-first approach across all practice initiatives to enhance innovation, productivity, and delivery outcomes.
• Collaborate closely with market teams to accelerate growth through strategic upsell and cross-sell opportunities.
• Oversee end-to-end delivery for a portfolio of accounts, acting as the primary point of contact and ensuring high levels of customer satisfaction and delivery excellence.
• Optimize team utilization and staffing, aligning capacity with client demand while maintaining operational efficiency.
• Lead people management at scale, managing multiple teams through subordinate People Managers and fostering a high-performance culture.
• Drive capability readiness by aligning skills supply with market demand through recruitment planning, competence development, upskilling, and knowledge-sharing in the practice
• Own end-to-end people leadership across the employee lifecycle: hiring/onboarding, goal setting, feedback and coaching, performance management, development planning, and offboarding

Key Skills & Qualifications

Data & Integration Expertise

• Strong background in Data Engineering, Data Platforms, and Enterprise Integration
• Familiarity with modern data ecosystems (cloud data platforms, ETL/ELT, APIs, messaging systems)
• Exposure to integration patterns, microservices, and event-driven architectures

AI & Innovation

• Practical understanding of AI/GenAI use cases in Data & Integration
• Ability to embed AI-first thinking into solutions, delivery, and productivity improvements

Leadership & Business

• Strong leadership experience managing large, distributed teams and people managers
• Proven ability to drive growth through offerings, sales support, and account expansion
• Strong stakeholder management with customers, sales teams, and senior leadership
• Ability to balance delivery, people, and business priorities effectively

Delivery & Operations

• Deep experience in managing end-to-end program delivery with a focus on quality and CSAT
• Strong understanding of resource management, utilization optimization, and workforce planning
• Experience managing multiple accounts/portfolios in a global delivery model

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or related field
• 15+ years of relevant industry experience in Data and Integration
• Prior experience in a leadership role within a consulting or delivery organization preferred

If qualified & interested, please send your resume to [Confidential Information] along with the below information.

Details Needed:

• Total years of IT experience
• Years of experience in Data Engineering
• Years of experience with Data Platforms
• Years of experience in Enterprise Integration
• Years of experience with ETL/ELT, APIs, and Messaging Systems
• Years of experience in Microservices & Event-Driven Architecture
• Years of experience with AI/GenAI use cases
• Years of experience managing end-to-end program delivery
• Years of experience managing large teams and people managers
• Experience with portfolio/account management (please mention the number of accounts and team size managed)
• Experience in practice building, pre-sales, upselling, or business growth
• Current location
• Are you okay with the hybrid model (Yes/ No) -
• Notice period
• Email -
• Phone -
• Current Company -
• Current Compensation
• Expected compensation