Engagement Manager – Data & AI Experience : 12 -15 years

Location : Bangalore Role Summary The Engagement Manager will act as the single point of contact (SPOC) from the Data & AI practice for regional sales and account teams, supporting presales, solutioning, and delivery governance. This role bridges business and technology, ensuring that solutions are well-structured, proposals are compelling, and deliveries adhere to best practices. The individual will bring robust travel domain expertise, a solid understanding of Data & AI, and the ability to translate business needs into scalable solutions.

Responsibilities Presales & Solution Support

Sales Enablement: Partner with regional sales and account teams to identify and shape Data & AI opportunities.

Solutioning: Collaborate with technical teams to define solution approaches, architecture, and scope aligned with client needs.

Proposal Development: Contribute to RFP responses, proposals, and effort estimations.

Pitch Support: Create and deliver high-impact presentations and solution walkthroughs to support deal pursuits.

Delivery

Governance & Oversight

Delivery Alignment: Ensure projects are executed in line with defined architectures, best practices, and quality standards.

Program Oversight: Provide governance across engagements, tracking progress, risks, and dependencies.

Issue Resolution: Act as an escalation point to resolve delivery challenges in collaboration with delivery teams.

Best Practices: Drive adoption of standard methodologies, reusable assets, and frameworks across engagements.

Practice

Representation

SPOC for Practice: Act as the primary interface between the Data & AI practice and regional teams.

Capability Positioning: Help position the practice’s capabilities across Data Engineering, BI, and AI/ML in relevant opportunities.

Internal Alignment: Ensure seamless coordination between sales, account teams, and delivery units. Domain & Advisory Support

Travel Domain Expertise: Provide contextual insights and guidance for airline/travel use cases (e.g.,



revenue management, customer analytics, operations).

Use Case Definition: Help shape problem statements and define high-value Data & AI use cases.

Emerging Trends: Bring awareness of trends such as cloud data platforms and Generative AI to enhance solution relevance. Asset & Capability Development

Reusable Assets: Contribute to development of pitch decks, case studies, solution frameworks, and accelerators.

Knowledge Sharing: Support capability building within the practice and across regional teams. Requirements

Education and Experience

Bachelor’s degree in Engineering, Technology, or related field; MBA preferred.

15–20 years of experience in consulting, presales, or delivery roles within Data & AI or related domains. Domain & Technical Skills

Strong domain knowledge in airlines, travel, or transportation.

Conceptual understanding of

Data Engineering (data pipelines, data platforms)

Data Warehousing & BI (reporting, dashboards, analytics)

AI/ML (predictive analytics, ML lifecycle)

Hands-on experience in at least one area (Data Engineering, BI, or AI/ML).

Awareness of cloud ecosystems and emerging trends such as Generative AI. Core Competencies

Stakeholder Management: Ability to work effectively with sales, account teams, and delivery units across regions.

Communication: Strong verbal and written communication skills, with the ability to simplify complex concepts.

Presentation Skills: Proven ability to create compelling, executive-level presentations and storytelling decks.

Consultative Thinking: Ability to translate business needs into structured solution approaches.

Program Oversight: Experience in managing multiple engagements, risks, and dependencies.

Additional

Requirements

Willingness to travel to client locations globally for short-term assignments (2–3 weeks at a time).

Preferred

Qualifications

Experience in IT services or consulting organizations.

Exposure to large-scale data transformation or AI-led programs in the travel domain.

Familiarity with estimation models, solutioning frameworks, and commercial constructs.

📌 Engagement Manager – Data & AI (Bengaluru)
🏢 IBS Software
📍 Bengaluru