Senior Director - Enterprise Intelligence, Analytics and Technology Operations

Adobe Systems India Pvt Ltd

Dadri

On-site

INR 3,000,000 - 5,000,000

Full time

14 days+

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Job summary

Adobe Systems India Pvt Ltd is seeking a Senior Director for Enterprise Intelligence, Analytics & Technology Operations. This role focuses on transforming sales and operations teams through data-driven strategies and AI-powered solutions.

The successful candidate will lead the analytics strategy and ensure effective technology operations across India, contributing to Adobe's global growth and ensuring a strong performance-driven culture.

Qualifications

  • Experience in leading transformation in analytics and data operations.
  • Proven ability to collaborate with senior executives and multiple departments.
  • Expertise in embedding AI and analytics into business workflows.

Responsibilities

  • Define and deliver an enterprise-wide analytics and intelligence strategy.
  • Lead the design and scale-up of a unified analytics experience.
  • Embed advanced analytics and AI into business workflows.
  • Transform technology support operations through automation.

Skills

AI-powered decision intelligence
Advanced analytics
Cloud-native architectures
Data modernisation
Cross-functional leadership

Job description

About Adobe & Global Sales Strategy & Operations Organization

Senior Director Enterprise Intelligence, Analytics & Technology Operations

Adobe is a global leader in digital experiences, empowering everyonefrom individuals to the worlds largest enterprisesto create, deliver, and optimize exceptional customer experiences. Adobes culture is rooted in creativity, innovation, and impact, with a strong commitment to integrity, inclusion, and continuous learning. We believe in building technology that enables people and businesses to do their best work, and we invest deeply in our people to help them grow, lead, and thrive. The Global Sales Operations organization partners with Adobes sales leadership to drive clarity, focus, and execution excellence across the global go-to-market engine. The team brings together strategy, insights, systems, and operational rigor to simplify complexity, improve productivity, and scale what works. As Adobe continues to grow, Global Sales Operations plays a central role in shaping how data, technology, and AI are leveraged to deliver consistent, high-quality outcomes for customers and the business.

Role Summary

This role leads a high-impact enterprise function responsible for transforming how sales and operations teams use data, analytics, and technology to drive growth, productivity, and better decision-making. The leader will own the strategy and execution of an AI-first analytics ecosystem, modern data platforms, and scaled technology operations that enable faster, smarter, and more consistent business outcomes.

Strategic Leadership & Executive Partnership

This role is a key member of the Global Sales Operations leadership team and serves as a trusted advisor to senior executives. As part of the senior leadership staff, the role contributes directly to shaping global sales operations strategy, setting priorities, and defining how analytics, technology, and AI are used to enable growth at scale. The leader will influence enterprise-wide decisions, partner closely with peers across Sales, Finance, Marketing, and Product, and help translate corporate strategy into executable, measurable programs that drive impact across regions and customer segments.

India Site Leadership

In addition to the global charter, this role serves as the senior site leader for Global Sales Operations investments in India. The role provides strategic and cultural leadership across India-based teams, ensuring strong alignment with global priorities while fostering an inclusive, high-performance environment. As site leader, the role represents the organization locally, partners with regional leadership, and helps shape the long-term talent, capability, and investment strategy for India as a critical hub for innovation, scale, and enterprise impact.

Why This Role / Why Now

Enterprises are at an inflection point where traditional reporting and fragmented analytics are no longer sufficient to support the speed, scale, and complexity of modern go-to-market execution. Advances in cloud data platforms and applied AI now make it possible to shift from reactive reporting to proactive, insight-driven decision-making. This role exists to lead that transformation—consolidating analytics experiences, modernizing data foundations, and embedding intelligence directly into daily workflows. The timing is critical: the organization is scaling globally, raising expectations on productivity and execution rigor, and investing in AI to fundamentally change how decisions are made across sales and operations.

Key Responsibilities
  • Define and deliver an enterprise-wide analytics and intelligence strategy that shifts the organization from static reporting to AI-powered decision intelligence.
  • Lead the design and scale-up of a unified analytics experience that consolidates fragmented reporting into a single, intuitive interface for business and field users.
  • Drive modernization of the data platform, including cloud-native architectures, modular data pipelines, and self-service experimentation capabilities.
  • Embed advanced analytics and AI directly into business workflows, enabling insights and recommendations in the flow of work.
  • Transform technology support operations through intelligent automation, conversational AI, and workflow-driven self-service solutions.
  • Partner closely with sales, marketing, finance, and operations leaders to align metrics, planning rhythms, and decision frameworks.
  • Establish strong governance, prioritization, and execution rigor to balance run-the-business stability with change-the-business innovation.
Top Programs You Will Own
  • One Command Center (OCC) Expansion.
  • Enterprise Analytics Transformation: Evolving analytics from dashboards to AI-driven decision intelligence, including predictive insights and conversational analytics.
  • Unified Analytics Experience: Consolidating disparate reporting tools into a single, role-based analytics interface with strong adoption and self-service.
  • Data Platform Senior D
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