Responsibilities
- Oversee full lifecycle delivery of multiple AI, automation, and digital transformation initiatives, ensuring alignment with strategic objectives through structured intake, prioritization, execution, and performance tracking
- Collaborate with product, program, and engineering teams to convert business requirements into scalable AI-driven solutions and efficient operational processes
- Support cross-functional delivery while balancing speed, quality, stakeholder expectations, and business-critical priorities
- Navigate uncertain environments and resolve complex delivery obstacles in dynamic client settings
- Manage concurrent initiatives and competing demands while upholding disciplined execution standards
- Assist in deploying AI-driven workflows, automation projects, and agentic systems across enterprise departments
- Develop structured workflows, delivery frameworks, governance models, and operational strategies that support enterprise-wide AI scalability
- Work closely with technical and business units to transition solutions from pilot stages to enterprise-scale deployment
- Assess emerging AI technologies, platforms, and functionalities to uncover viable enterprise use cases and process enhancements
- Identify and implement efficiency gains through automation, optimized operations, and scalable delivery methods
- Establish program objectives, KPIs, and reporting systems linked to adoption rates, efficiency, quality, performance, and business outcomes
- Align stakeholder processes—including intake, prioritization, SLA monitoring, risk oversight, and post-deployment evaluation—with organizational benchmarks
- Detect and proactively manage delivery risks, interdependencies, and escalation protocols to maintain project momentum
- Ensure transparent communication and visibility to leadership by providing regular updates and minimizing unforeseen issues through forward-looking risk planning
- Function effectively within complex, matrixed organizations and engage stakeholders at all levels, from operational staff to senior executives
- Cultivate strong relationships with internal clients to align on goals, schedules, and deliverables
- Enable organizational adoption of AI-integrated work models through engagement, communication, training, and operational enablement
- Contribute to the creation of standardized playbooks, documentation, and best practices that support repeatable, scalable AI delivery
- Guide junior team members and promote delivery excellence across project teams
Responsibilities
- Lead end-to-end delivery across multiple AI, automation, and technology transformation initiatives, ensuring consistent intake, prioritization, execution, and measurement aligned to organizational goals
- Partner with product owners, program managers, and engineering teams to translate business needs into scalable AI-enabled solutions and operational workflows
- Support delivery across cross-functional teams while balancing speed, quality, stakeholder expectations, and business priorities
- Navigate ambiguity and solve complex delivery challenges in fast-paced client environments
- Manage competing priorities and simultaneous initiatives while maintaining strong execution discipline
- Support the implementation of AI-powered workflows, automation initiatives, and agentic systems across enterprise functions
- Help structure workflows, delivery models, governance processes, and operational approaches that enable scalable enterprise AI adoption
- Collaborate closely with technical and business teams to move solutions from pilot to scaled deployment
- Evaluate emerging AI tools, platforms, and capabilities to identify practical enterprise applications and opportunities for process improvement
- Seek opportunities to improve efficiency through automation, streamlined operations, and scalable delivery practices
- Define program goals, success metrics, and reporting mechanisms tied to adoption, efficiency, quality, operational performance, and business impact
- Partner with stakeholders to align intake processes, prioritization frameworks, SLA tracking, risk management, and post-launch measurement to organizational standards
- Identify and proactively manage delivery risks, dependencies, and escalation paths to ensure projects remain on track
- Provide ongoing communication and program visibility to leadership and stakeholders while reducing surprises through proactive risk management
- Operate effectively across highly matrixed organizations and work with stakeholders ranging from front-line analysts to executive leadership
- Build strong relationships with internal customers and stakeholders to establish alignment on objectives, timelines, and expected outcomes
- Help organizations adopt AI-enabled ways of working through stakeholder engagement, communication, training, and operational support
- Support the development of repeatable playbooks, documentation, and best practices to enable scalable delivery and enterprise AI adoption
- Mentor junior consultants and support delivery excellence across project teams