AI Portfolio Management Director

Overview

The goal of the Director of AI Portfolio Management is to develop and execute a strategic plan to position and market the company''s AI solutions and services in a way that drives revenue growth and market share. This involves using market research and customer insights to align services with customer demand, craft compelling positioning and messaging, enable sales team effectiveness and implement successful AI go-to-market strategies.Responsibilities

AI Portfolio Go-to-market Strategy

Market Research and Customer Insights: Conduct research to understand market trends, customer needs, and the competitive landscape to shape the portfolio strategy.Service Portfolio Positioning and Messaging: Define and articulate the AI portfolio''s unique value proposition, differentiators and messaging that resonates with the target market.Maintain, add to the Service Catalogue: Define and maintain the service portfolio catalogue and coordinate launch planning of new products or features with cross-functional teams.

Sales Enablement

Sales Training: Develop comprehensive training materials and programs to ensure the sales team has the knowledge and tools to sell the portfolio effectively.Sales Tools and Collateral Creation: Create and maintain up-to-date sales collateral, such as pitch decks, demos, data sheets, and case studies that support the selling process.

Lead / Demand Generation Support

Content Strategy and Development: Craft and execute an AI content strategy that includes blogs, whitepapers, videos, and other materials to attract and engage prospects.Campaign Support and Execution: Assist in creating focused AI content rich marketing campaigns to generate leads through the various marketing channels.

Portfolio Adoption and Customer lifetime value

Onboarding: Develop resources and programs to ensure customers are successfully onboarded and understand how to use the service effectively.Training: Develop resources and create new AI content training for customers and partner to cover sales, presales, consulting, and support teams.Customer Advocacy and Feedback: Build customer relationships to promote retention, gather feedback, and encourage positive word-of-mouth and case studies.Retention and Cross / Upsell: Develop strategies for customer retention and cross / upsell to enhance value and repeat business.

Qualifications

Successful Performers will:Demonstrate and experience in strong AI strategic thinking, translating market trends, and customer needs into a viable go-to-market strategy and practical initiatives.Adopt a customer-centric and business value-driven approach, understanding the customer journey and buying process.Conduct competitive analysis, monitoring and reporting on competitive movements and market trends to maintain and enhance competitive position.Translate complex portfolio features into marketable value, ensuring alignment with customer demands and market trends.Innovate and employ creative thinking to produce compelling content that promotes and engages the market, driving sales success.Stay at the forefront of market and technology trends and adapt the portfolio strategy accordingly to maintain relevance and effectiveness.Cultivate cross-functional leadership by building strong relationships with both internal teams and external partners.Collaborate with the CTO''s office, Marketing, Sales, and Customer Success, establishing feedback loops that guarantee a unified and effective portfolio strategy.Drive execution excellence, ensuring that tactical plans focus on delivering business outcomes.Define and monitor key performance indicators to measure initiative effectiveness.Key Areas of Knowledge

Consultative Sales (Software and Services)BD and Sales ProcessesMarketing Strategies and TacticsSales EnablementProject / Program ManagementTSP / MSP Industry domainITSM / ITIL / DevOpsConversational AIAI Operations / Hyper automationValue SellingMarket Analysis and ResearchContent Creation and ManagementInstructional DesignPartner / Technical Alliance ManagementSoftware Development LifecycleEnterprise Software / Cloud / SaaS modelsUnderstanding Presales/Sales ..... full job details .....