Service Delivery Leader for AI-Led Digital Transformation

About the Job

A Better Together philosophy towards building a better world

Aligned Automation is a strategic service provider that partners with Fortune 500 leaders to digitize enterprise operations and enable business strategies. We believe we can create positive, lasting change in the way our clients work while advancing the global impact of their business solutions for a more optimistic and better world. We are passionate about building and sustaining an inclusive and equitable workplace where all people can develop and thrive. Enriched by our 4C's – Care, Courage, Curiosity, and Collaboration – our culture supports solutions that empower the possible.

Experience: 15–17 years
Location: Pune

We are seeking a seasoned Service Delivery Leader for AI-Led Digital Transformation to own a customer delivery portfolio and serve as the key onsite interface between customer stakeholders and distributed delivery teams.

Reporting into Delivery Operations, this role operates across Customer Delivery, Solution Engineering, AI/Data, Architecture, Presales, and Growth functions.

The primary accountability is delivery and value realization—translating customer priorities into executable plans, shaping solution designs, mobilizing capabilities, and driving initiatives to measurable business outcomes.

This is a hands-on, execution-focused leadership role, with strong emphasis on building solutions and driving delivery rather than coordination or governance.

Key Responsibilities

1. Customer Delivery & Portfolio Leadership – Primary Accountability

• Own execution, health, and outcomes of the assigned customer portfolio.
  
• Act as onsite delivery lead and trusted customer interface.
  
• Translate priorities into clear deliverables, plans, milestones, owners, and outcomes.
  
• Drive execution through distributed teams ensuring quality, speed, and commitment adherence.
  
• Identify and resolve risks, dependencies, and delivery gaps proactively.
  
• Improve productivity, quality, automation, and cost efficiency.
  
• Ensure rapid conversion of customer feedback into delivery actions.
  
  

2. AI-Led Digital Transformation & Solution Design

• Identify and shape AI-led transformation opportunities across the portfolio.
  
• Translate business problems into scalable solution designs using GenAI, Agentic AI, automation, data, and analytics.
  
• Lead solution discovery, workshops, architecture discussions, and blueprinting.
  
• Build transformation roadmaps linking business goals, architecture, delivery, and value realization.
  
• Drive lifecycle: discovery → design → PoC → implementation → adoption → value realization.
  
• Ensure solutions are viable, scalable, and outcome-aligned.
  
  

3. Solution Engineering, Presales & Growth Support

• Lead solution engineering between customers and delivery teams.
  
• Develop solution concepts, architectures, POVs, business cases, roadmaps, and SOW inputs.
  
• Partner with Presales, Sales, and Delivery leadership on new opportunities.
  
• Identify growth opportunities from delivery insights.
  
• Support RFPs, proposals, workshops, estimations, and presentations.
  
• Convert delivery success into reusable solutions and new business opportunities.
  
  

4. Customer Integration & Executive Stakeholder Management

• Bridge onsite customer stakeholders and distributed delivery teams.
  
• Translate decisions, priorities, and expectations into execution plans.
  
• Ensure risks, constraints, and recommendations are clearly communicated.
  
• Drive a high-velocity operating model converting discussions into actions and timelines.
  
• Align Delivery, AI/Data, Architecture, Presales, and Growth teams.
  
• Build credibility through delivery outcomes and solution expertise.
  
• Lead executive discussions on progress, risks, and value realization.
  
• Present roadmaps, solutions, and business cases to senior leadership.
  
  

Deliverable-Oriented Leadership

Success in this role is defined by what is designed, delivered, and the value created.

Key outputs include:

• AI / Agentic AI use-case portfolios
  
• Solution architectures and blueprints
  
• Transformation roadmaps
  
• POVs and PoCs
  
• AI / automation business cases
  
• Operating model transformation plans
  
• Implementation and scaling plans
  
• SOW and proposal inputs
  
• Executive readouts and value realization plans
  
• New transformation opportunities
  

The role requires hands-on ownership of these deliverables while leveraging distributed teams for scale.

Required Experience & Capabilities

• 15–17 years in technology services, consulting, or digital delivery.
  
• Strong customer-facing delivery leadership in enterprise environments.
  
• Proven experience managing multi-team portfolios.
  
• Strong understanding of AI, GenAI, Agentic AI, automation, data, analytics, and cloud.
  
• Demonstrated strength in solution design and engineering.
  
• Ability to convert business problems into executable solutions.
  
• Experience with distributed/offshore delivery models.
  
• Strong executive communication and facilitation skills.
  
• Commercial understanding of SOWs, estimation, and value realization.
  
  

What Differentiates the Candidate

This role is not suited for traditional account managers or coordination-focused profiles.

We are looking for someone who can:

Understand → Design → Build → Mobilize → Deliver → Realize Value

The ideal candidate will be equally strong in executive engagement, solution design, delivery execution, and end-to-end outcome ownership.

A builder mindset, strong delivery ownership, solution depth, and bias for outcomes are essential.

Success Measures

• Delivery performance and customer satisfaction
  
• Portfolio health and execution outcomes
  
• Transformation initiatives launched and scaled
  
• AI-driven productivity and business value realization
  
• Speed and quality of solution design
  
• Conversion of ideas into execution
  
• Growth from delivery-led opportunities
  
• Adoption of AI-native delivery models
  
• Quality of customer-facing deliverables
  
• Executive stakeholder confidence
  
• End-to-end value realization from problem to outcome