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Key skills for this role
Own the digital transformation roadmap — prioritise, sequence, and deliver initiatives end-to-end
Define product requirements, user stories, and success metrics for each workstream
Manage cross-functional delivery across tech, operations, support (field and backend) finance, and sales teams
Present project status, risks, and outcomes to senior leadership and the CEO
Map, analyse, and re-engineer business processes for efficiency and scalability
Design and implement end-to-end workflow automation solutions
Identify manual bottlenecks and convert them into automated, auditable systems
Evaluate and deploy automation platforms suited to operational needs
Lead CRM implementation, configuration, and go-live across business units
Define field architecture, data strategy, and integration requirements
Drive CRM adoption and ensure data quality across sales and ad teams
Define BI requirements and oversee the development of dashboards and reporting layers
Work with data engineers on P&L, revenue attribution, and operational analytics
Drive data-driven decision making — from regional director dashboards to exec-level P&L views
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Maintain alignment between ERP, Data Lake, CRM, and reporting systems
Define use cases for AI bots, NLP query interfaces, and intelligent automation
Collaborate with AI engineers to scope, test, and deploy LLM-powered tools
Oversee integrations between AI agents and business tools (Teams, CRM, ERP, etc.)
Stay current with the AI landscape and identify high-leverage opportunities for Qube
5–8 years of experience in digital transformation, product management, or management consulting
Proven track record delivering CRM, automation, or BI projects end-to-end
Strong understanding of CRM platforms — Zoho, HubSpot, Freshworks, Salesforce, or equivalent
Hands-on experience with BI tools — Power BI, Tableau, Metabase, Looker, or equivalent
Familiarity with workflow automation concepts; ability to spec and review automation flows
Experience with bot or AI assistant implementations in a business context
Excellent stakeholder management and executive communication skills
Structured thinking, comfort with ambiguity, and strong ownership mindset
Hands-on experience with n8n, Make (Integromat), or similar automation orchestration tools
Familiarity with Claude AI (Anthropic) or Emergent AI for business workflow use cases
Experience in media, entertainment, cinema, or ad-tech industries
Understanding of ERP systems (SAP, Oracle, or similar) and Data Lake architecture
Exposure to AI agent frameworks, prompt engineering, or LLM API integration
High ownership, high visibility role in a fast-moving DT team
Direct exposure to LLMs, automation, and the next generation of cinema technology
Competitive compensation and benefits
Collaborative, builder culture with strong support from leadership
Indian private digital cinema technology company providing software, servers, and content services to filmmakers, distributors, and exhibitors.
Visit company websiteJobs and hiring trendsFull-time
Senior · 5+ years experience
Onsite
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