Overview
Own the product vision, strategy, and roadmap for the Agent and Intelligent Platform, sequencing investment so each of the eight capabilities is progressively productized rather than delivered by hand. Translate the delivery motions of the eight capabilities into reusable platform components — agents, accelerators, templates, connectors, and instrumentation — that teams can deploy directly on customer engagements. Define and manage the platform backlog, writing clear requirements and acceptance criteria, prioritizing against customer impact, reuse potential, and delivery risk. Partner with engineering pods, business architects, human-agent system designers, change practitioners, and governance leads to convert capability blueprints into technical requirements and shipped features. Embed Security into the platform by design — security, compliance, monitoring, and named accountability for
Full job description
Full Job Description
Own the product vision, strategy, and roadmap for the Agent and Intelligent Platform, sequencing investment so each of the eight capabilities is progressively productized rather than delivered by hand. Translate the delivery motions of the eight capabilities into reusable platform components — agents, accelerators, templates, connectors, and instrumentation — that teams can deploy directly on customer engagements. Define and manage the platform backlog, writing clear requirements and acceptance criteria, prioritizing against customer impact, reuse potential, and delivery risk. Partner with engineering pods, business architects, human-agent system designers, change practitioners, and governance leads to convert capability blueprints into technical requirements and shipped features. Embed Security into the platform by design — security, compliance, monitoring, and named accountability for agent quality and behavior — so governance evolves alongside capability rather than behind it. Define the telemetry and value metrics the platform captures, so cycle-time, capacity, adoption, and P&L impact are measurable and visible to delivery teams and executive sponsors. Run the operating rhythm for the platform — intake, releases, feedback loops, and a continuous improvement cadence that retires, extends, and hardens components based on real engagement signals. Enable delivery teams and customers to adopt the platform through documentation, patterns, and enablement, so capabilities can be operated and extended independently after the engagement fades.Success in this role looks like The eight capabilities are increasingly delivered through the platform, reducing the manual effort required on each engagement. Agents, accelerators, and tooling built once are reused across multiple customers and sectors. Platform telemetry quantifies capacity unlocked, cycle-time reduction, and P&L impact, and that evidence is visible to executive sponsors. Governance, security, and accountability controls are built into the platform and satisfy regulated-industry requirements. Delivery teams adopt the platform as the fastest, safest default way to deliver Frontier Transformation, and customers can operate and extend it independently Bachelor's Degree in Computer Science, Engineering, Information Systems, or a related field, AND 4+ years of product build experience for software, platform, or tooling products; OR a Master's Degree in a relevant field AND 5+ years of such experience; OR equivalent experience. Proven track record owning a product or platform from strategy through roadmap, delivery, and adoption. Experience productizing internal or delivery capabilities into reusable, instrumented software used at scale. Hands-on understanding of building AI agents and applications, including agent orchestration, tooling, and integration patterns. Strong ability to translate the needs of delivery, engineering, change, and governance teams into clear product requirements and acceptance criteria. Experience defining product telemetry and value metrics and using them to prioritize investment. Ability to make build-versus-buy-versus-reuse decisions and manage a product portfolio with competing dependencies. Experience working directly with engineering teams and with senior stakeholders in a customer or executive setting. Master's degree (MBA or a relevant technical discipline) or equivalent advanced qualification. Understanding of the Work IQ, Fabric IQ, and Foundry IQ intelligence layers and semantic-layer / data-architecture concepts. Experience building or integrating governance, security, and compliance controls into AI products for regulated industries. Familiarity with the disciplines behind the eight capabilities — human-agent system design, change management, value management, and continuous improvement. Experience with platform enablement — documentation, reusable patterns, and capability transfer to delivery teams and customers. Background in management consulting, enterprise transformation, or delivery organizations.
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