Solution Consultant

Morgan McKinley; Dublin; On-site; EUR 80,000 - 120,000; Part time

Job summary

Morgan McKinley is seeking an experienced Solution Consultant and Vertical Delivery Lead to embed within a product pod, shaping AI-native support solutions across flagship products. You will bridge business and technical teams, translating strategy into backlog items and delivery plans while ensuring regulatory and launch approvals.

You will own end-to-end delivery, drive agile storytelling, coordinate cross-functional teams, and optimize post-launch performance with measurable outcomes.

Qualifications

• 5+ years of experience in technology delivery, data analysis, and program or project management.
• Proven track record of managing multiple complex, time-sensitive work streams.
• Strong analytical, strategic, and problem-solving skills with ownership.
• Demonstrated leadership and stakeholder management, cross-functional alignment.

Responsibilities

• Business Strategy & Backlog Prioritization: Evaluate incoming project requests and own a unified, priority-based backlog for your product pod.
• Agile User Story Breakdown: Translate goals into incremental, actionable user stories with cross-functional teams.
• End-to-End Execution Management: Drive day-to-day delivery, track milestones, and clear blockers.
• Cross-Functional Orchestration: Align dependencies across Analytics, Content, Legal, Security, and Product Engineering.
• Post-Launch Optimization: Measure impact, monitor errors, and iterate rapidly for measurable outcomes.

Skills

Backlog management

Stakeholder management

Agile / Scrum

Analytical thinking

Ownership & accountability

Job description

Solution Consultant / Vertical Delivery Lead — Product Support Solutions

Contract:12 months (January Start)

About the Role

As Technology Delivery transitions toward an AI-native support ecosystem, the Technology Delivery Solutions (TDS) team is redefining customer care across flagship products. As a Solution Consultant and Vertical Delivery Lead, you will embed directly within a dedicated product pod to design, prioritize, and deliver intelligent, context-aware support solutions. You will serve as the operational and strategic bridge between business stakeholders and technical engineers, blending AI-first self-service, conversational AI, Large Language Models (LLMs), scaled knowledge centers, and premium human support to make effortless customer care the gold standard.

Key Responsibilities

• Business Strategy & Backlog Prioritization: Evaluate incoming project requests and own a unified, priority-based backlog for your product pod, balancing high-impact AI-native initiatives with core compliance and legacy support updates.
• Agile User Story Breakdown: Partner closely with Product Managers, Technical Program Managers, and Customer & Product Solutions Engineers (CPSEs) to translate high-level business goals into incremental, actionable, and technically sound user stories.
• End-to-End Execution Management: Drive the day-to-day delivery lifecycle, track milestones, proactively clear execution blockers, and elevate capacity constraints early to keep solution launches on schedule.
• Cross-Functional Orchestration: Act as the central delivery hub across Analytics, Content, Legal, Security, and Product Engineering to align technical dependencies and secure all regulatory and launch approvals.
• Post-Launch Optimization: Oversee post-launch performance through impact measurement, error monitoring, and rapid fast-follow iterations to ensure deployed solutions deliver measurable customer and operational outcomes.

Minimum Qualifications

• 5+ years of relevant experience in technology delivery, data analysis, and program or project management.
• Proven track record of managing multiple complex, time-sensitive work streams simultaneously with high attention to detail and minimal oversight.
• Strong analytical, strategic, and problem-solving skills paired with high ownership and a proactive approach to removing blockers.
• Demonstrated leadership and stakeholder management skills, with the ability to align cross-functional technical and non-technical teams.

Preferred Qualifications

• Experience delivering customer support solutions, self-service workflows, rule-based automation, or conversational AI / LLM-powered tools.
• Strong data fluency, with the ability to extract actionable insights from performance metrics and translate them into product or workflow improvements.
• Experience operating within Agile/Scrum product pods and managing unified technical backlogs.