Portfolio Manager - Cloud, Data and AI

Job Summary

The Portfolio Manager, Cloud, Data & AI owns SoftwareOne’s cloud, data, analytics and AI service offers within the Product Development & Readiness (PDR) team, serving as the accountable owner and primary point of coordination from intake through design, pilot, launch and ongoing portfolio review.

This role transforms cloud, data and AI concepts into market-ready, easy-to-sell services with clear value propositions, delivery readiness, commercial viability and strong alignment to customer demand. The portfolio includes cloud modernization, migration and managed cloud services; data platform and analytics offers; AI advisory and adoption services and related governance, and security.

The role works closely with Cloud, Data & AI practice SMEs, product marketing, finance, legal, sales and delivery teams to ensure offers are well-designed, validated through pilot phase, and successfully launched into the market. It is a key execution role that connects technology strategy, market signal, customer need and delivery readiness.

SoftwareOne is an AI‑forward company. We actively use AI across our business to improve productivity, decision‑making, and outcomes - and we are intentional about hiring people who are curious, hands-on, actively apply AI, and lead by example as technology continues to evolve.

Role & Responsibilities

The Portfolio Manager, Cloud, Data & AI carries end-to-end responsibility for offer development and lifecycle management across cloud, data, analytics and AI services. Responsibilities map directly to the PDR workflow:

Intake → Design → MVP → Pilot → Full Launch → Portfolio Review.

Cloud, Data & AI offer ownership & strategy

• Own the Cloud, Data & AI portfolio, including cloud modernization, migration, managed cloud, data platforms, analytics, and AI.
• Assess new ideas for fit against cloud, data and AI market demand, customer pain points, delivery capability, partner alignment and commercial potential.
• Use portfolio performance data, customer signal, and emerging technology trends to prioritize, refresh, bundle or sunset offers.

Offer design, scope, packaging & pricing

• Own offer design, scope, packaging and pricing for Cloud, Data & AI services, ensuring each offer is simple to sell, scalable and differentiated in the market.
• Define target buyers, use cases, business outcomes and value propositions.
• Partner early with Product Marketing, Finance, Legal and delivery leaders to validate positioning, naming, commercial guardrails, margin, delivery assumptions and launch readiness.

Build, pilot & launch (the gates)

• Guide MVP content, delivery playbooks, sales enablement and consultant readiness.
• Manage pilot delivery and the client relationship; secure 2–3 pilots sold before advancing offers to full launch.
• Co-own the pilot gate go/no-go decision incorporating customer feedback, technical feasibility, security considerations and commercial performance.
• Make fast pivot-or-scrap calls based on pilot outcomes, and market readiness.

Cross-functional & stakeholder leadership

• Build and maintain strong relationships with Cloud, Data & AI practice teams, CoEs, and sales leaders.
• Provide Cloud, Data & AI portfolio performance insights into the portfolio review and RLT reporting cadence.
• Travel up to 10%