Head of Group Business Solutions

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As Arrive, we guide customers and communities towards brighter futures and more livable cities, it isn't a challenge just anyone could take on. Luckily, we have something to help us make it happen. Our people and our values. We Arrive Curious, Focused and Together. Just as our entire brand is inspired by the North Star, the shining light leading travelers to their destinations since time began, our values guide us. They help us be at our best. For our customers. For the cities and communities we serve. For ourselves. As a global team, we are transforming urban mobility. Let's grow better, together.

Role Overview:

The Group Head - Business Solutions is a strategic, AI-forward technology leader responsible for transforming the organization into an AI-first, product-led, digitally enabled enterprise.

Reporting to the Group CIO, this role will treat the organization as a living, evolving product - designing, building, and continuously improving a seamless digital operating model powered by intelligent automation that reduces friction for employees and delivers a world-class customer experience.

The mandate is to shift IT from a traditional service-provider function to a strategic business enabler by productizing core business capabilities, embedding AI-led product management practices, integrating enterprise platforms, driving operational excellence, and enabling scalable digital growth.

Responsibilities:

1. Productization & AI-Led Optimization of Business Functions

• Lead the transition to an AI-enabled, Product-Led IT operating model.
• Define and establish clear Product Domains (e.g., Lead-to-Cash, Employee Lifecycle, Financial Core, Customer Care Platform).
• Create structured, AI-integrated product roadmaps aligned to business priorities.
• Conduct continuous discovery with business stakeholders to identify workflow friction and opportunities for cognitive automation.
• Apply value-stream mapping enhanced by predictive AI to optimize and automate end-to-end processes.
• Embed governance models for product lifecycle management, AI model lifecycle management (MLOps), and performance tracking.

2. Strategic Platform Architecture & AI Integration

• Ensure ERP, CRM, HRIS, Finance, and Customer systems operate as a unified, integrated, and AI-orchestrated enterprise platform.
• Eliminate technology silos through API-led integration, middleware, and intelligent orchestration agents.
• Drive enterprise data governance, treating corporate data as a high-quality, accessible, and AI-ready business asset.
• Build scalable, modular systems designed to support long-term business growth and emerging generative AI technologies.
• Ensure architecture and AI deployment decisions align with security, ethical AI implementation, compliance, and performance standards.

3. User-Centric Operational Excellence & Intelligent Experience

Employee Experience (EX)

• Design internal platforms with a consumer-grade, AI-personalized user experience.
• Improve usability and adoption of HRIS and generative AI-powered productivity tools.
• Track and improve internal digital satisfaction metrics.

Customer Experience Transformation

• Oversee the evolution of the Customer Care platform as a strategic brand touchpoint powered by advanced agentic AI.
• Enable an AI-driven, 360-degree view of the customer across systems.
• Drive intelligent automation, conversational AI, and self-service capabilities.

Frictionless Digital Support

• Implement generative AI and LLM-enabled automation to reduce manual interventions.
• Improve SLA performance and reduce operational bottlenecks through predictive routing and resolution.

4. Enterprise Reliability & AI Governance

• Ensure high availability and reliability of business-critical systems (24/7 environments) using AI-driven predictive maintenance.
• Establish clear SLAs, KPIs, and operational dashboards.
• Strengthen cybersecurity, disaster recovery, and compliance frameworks with built-in AI safety and risk safeguards.
• Manage system performance, scalability, and technical debt.

5. Change & Intelligent Transformation Leadership

• Lead enterprise-wide digital and AI transformation initiatives.
• Drive stakeholder alignment, AI literacy, and system adoption.
• Establish structured communication, training, and change frameworks focused on human-AI collaboration.
• Foster a culture of innovation, AI experimentation, and continuous improvement.

6. Vendor & Ecosystem Management

• Lead strategic negotiations with global ERP, CRM, HRIS, and enterprise AI platform vendors.
• Optimize licensing, cost structures, and vendor performance.
• Minimize vendor lock-in risks through strong contractual, architectural, and open-source model governance.
• Manage system integrators and implementation partners effectively.

Key Competencies Required:

Strategic & AI-Led Mindset
You are able to connect long-term business goals with a clear and practical technology roadmap. You understand how technology investments and AI capabilities support growth, efficiency, and competitive advantage. You naturally default to AI-led product management methodologies to solve complex enterprise challenges.

Operational Excellence
You have experience managing large, business-critical systems that require high availability and reliability. You ensure platforms and intelligent models are stable, secure, and capable of running 24/7 with minimal disruption.

Customer & Employee Focus
You treat internal stakeholders as valued partners and prioritize delivering a seamless experience for both employees and customers. You actively seek feedback and design solutions enhanced by intelligent personalization with the end-user in mind.

Change Management
You are comfortable leading digital transformation initiatives and managing the people side of change. You drive adoption of new systems and AI workflows through communication, training, upskilling, and stakeholder alignment.

Vendor & AI Ecosystem Mastery
You have strong experience managing and negotiating with global technology vendors and AI providers. You focus on maximizing value, controlling costs, and reducing long-term dependency risks.

Experience & Qualifications

• 12+ years of progressive experience in enterprise IT leadership.
• Minimum 5+ years leading large-scale business systems, digital transformation, or enterprise AI adoption initiatives.
• Proven experience applying AI-led product management frameworks to automate business processes.
• Deep expertise in ERP, CRM, HRIS, and enterprise platform integration.
• Strong understanding of enterprise architecture, AI model deployment, and data governance.
• Proven track record of managing high-availability enterprise environments.
• Experience leading large, cross-functional technology teams.
• Strong financial acumen, ROI evaluation of AI projects, and budget management experience.
• Excellent executive communication and stakeholder management skills.

Why Join Arrive?

• Work on global-scale payment systems impacting millions of users.
• Be part of a growing India engineering team with strong ownership.
• Collaborate with diverse, international teams.
• Opportunity to influence architecture, AI strategy, and team growth.
• Build technology that directly improves urban mobility and sustainability.

About Arrive

Arrive, including brands like EasyPark, Flowbird, RingGo, ParkMobile and Parkopedia, is a leading global mobility platform. Present in over 90 countries and 20,000 cities, the company helps people and decision-makers make smarter decisions about urban mobility and ease the experience of travel worldwide. Arrive delivers a unique combination of the core ingredients to make cities more livable: from smart payments and optimized car parks to data-driven traffic reduction and support for reinvestment in public transport and green space. It's about more than function, it's about saving time and simplifying the experience of travel for everyone. Travel is more than a journey, it's how you Arrive.