Program & Strategy Manager

2 days ago

Gurugram, India Spyne Full time

Job Description Job Responsibilities We are seeking a highly strategic and execution-driven person to join the CEO's office as a (Program and Strategy Manager) and drive the adoption of Agentic AI (autonomous, goal-driven AI systems) across all functionsProduct, Tech, Marketing, Data, Sales, Customer Success, Delivery, Onboarding, HR, Finance, PR, Branding and more. You will act as a bridge across cross-functional teams to ensure alignment and drive the strategic direction of our AI-powered product portfolio. What will you do Cross-Functional Agentic AI Transformation - Define and execute the company-wide high-impact agentic AI automation across functions.(e.g., AI-driven sales bots, automated customer onboarding, HR talent matching, finance forecasting). - Develop metrics and KPIs to track AI-driven efficiency gains. - Lead no-code AI tooling initiatives (e.g., GPT-based automation, AI agents, RPA, AutoML) to empower non-technical teams. - Partner with Engineering & Data teams to integrate AI into existing workflows. Program Management and Strategy - Develop, implement, and monitor key strategic initiatives that align with the company's overall business objectives. - Define, track, and own key business KPIs, ensuring execution of high-impact priorities. - Design and lead cross-functional projects to drive business outcomes, such as revenue growth, customer acquisition, and operational efficiency - Prepare executive reports, investor decks, and MBR presentations. - Provide strategic assistance and support to the senior leadership team Team & Stakeholder Management - Act as the bridge between the CEO's Office and department heads to drive AI adoption. - Conduct workshops to upskill teams on AI tools and best practices. - Manage vendor partnerships (OpenAI, Microsoft, Google AI, etc.) for AI tooling. What you must have - 3+ years of experience, preferably in Product, Program Management, or Strategy roles. - Expertise in analytics, excel, SQL, and BI tools (Tableau, Looker, Power BI, etc.) - Basic familiarity with LLM APIs (e.g., OpenAI, Anthropic, Hugging Face) - Technical background with ability to collaborate effectively with ML/AI engineering teams. - Exceptional communication skills to explain technical AI concepts to non-technical stakeholders. - Excellence in strategic thinking, problem-solving, and decision-making. - Analytical mindset with the ability to define and measure success metrics. - Ability to thrive in a fast-paced, ambiguous environment.

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