Senior Consultant, Functional Transformation
- Analyze production data from IVR, conversational AI, and digital chat channels to identify failure patterns, abandonment points, escalation drivers, and experience gaps.
- Translate data findings into clear problem statements linked to business impact, customer experience issues, and operational outcomes.
- Define functional requirements for conversational AI systems, including dialogue behavior, escalation logic, human handoff, context preservation, and channel-specific requirements.
- Develop conversation design principles and system-level behavioral guidelines for AI assistants across intents, channels, and failure states.
- Facilitate discovery sessions and working workshops with product, operations, technology, data, and business stakeholders.
- Structure design problems using methods such as root cause analysis, journey mapping, and 'how might we' framing.
- Build prioritized backlogs by turning design recommendations into delivery-ready items with a clear rationale, baseline, and target outcome.
- Design pilots and A/B tests for AI-enabled conversation changes by defining hypotheses, scenario coverage, success metrics, and measurement prerequisites.
- Support UAT, implementation validation, and measurement of whether changes are producing the intended results.
- Coordinate across client teams to ensure workstreams stay aligned, feasible, and on track.
- Support integrated planning by helping maintain milestones, dependencies, action items, and decision points across product, technology, operations, and data teams.
- Track delivery risks, issues, assumptions, and dependencies, and escalate blockers when needed.
- Prepare recurring status updates and stakeholder materials that clearly summarize progress, risks, next steps, and decisions required.
- Help manage governance routines such as working sessions, delivery checkpoints, and leadership updates.
- Maintain visibility across backlog health, readiness activities, delivery status, and key milestones.
- Support agile delivery practices, including sprint planning, story development, and backlog grooming.
- Help ensure recommendations are translated from analysis into executable work that can be tracked through delivery.
- Prepare and present findings to client stakeholders, including executive- and working-level audiences.
- Own the narrative from problem definition through recommendation and delivery planning.
- Build alignment across teams with different priorities, technical backgrounds, and delivery responsibilities.
- Manage stakeholder expectations by making assumptions, dependencies, and progress visible.
- Communicate complex conversational AI concepts in practical, business-oriented language.
- Support client conversations that drive clarity, decision-making, and momentum.
- 4+ years' experience working with operational or transactional data to identify patterns, quantify impact, and build a coherent problem statement.
- + years' experience structuring design problems and translating them into actionable recommendations.
- 2+ years experience understanding of conversational AI, IVR, chatbot, or digital assistant environments, including how they are designed, instrumented, and measured.
- Bachelor's degree or equivalent professional experience
- Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
- Limited immigration sponsorship may be available.
- Experience designing or evaluating A/B tests for AI-enabled product changes.
- Exposure to conversational AI or automation platforms such as IVR systems, chatbot tooling, virtual assistants, or enterprise AI products.
- Familiarity with pilot planning, release readiness, or delivery governance.
- Experience supporting cross-functional teams in a fast-paced consulting or transformation environment.
- Comfort with PMO routines such as status reporting, dependency tracking, action logs, and stakeholder updates.
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