Responsibilities
- Lead large-scale AI transformation initiatives from strategy through execution, adoption, and operational integration.
- Drive end-to-end delivery across multiple AI, automation, and technology transformation initiatives, ensuring consistent intake, prioritization, execution, governance, and measurement aligned to organizational goals.
- Work directly with business leaders and operational teams to map workflows, identify inefficiencies, and uncover high-impact AI opportunities tied to measurable business outcomes.
- Translate ambiguous business challenges into practical AI use cases, operational workflows, prototypes, pilots, and scalable enterprise solutions.
- Partner closely with product, engineering, data, operations, legal, and business stakeholders to design, build, test, and operationalize AI-enabled solutions.
- Navigate ambiguity and solve complex delivery challenges in fast-paced enterprise and consulting environments.
- Lead multiple simultaneous client engagements while balancing speed, quality, stakeholder expectations, operational governance, and business priorities.
- Lead implementation of AI-powered workflows, copilots, automation initiatives, and agentic systems across enterprise functions.
- Help organizations move AI initiatives from experimentation and isolated pilots into scalable day-to-day operational adoption.
- Help structure governance models, delivery frameworks, operational processes, and adoption approaches that enable sustainable enterprise AI transformation.
- Work alongside technical and business teams to iterate on AI solutions, refine workflows, validate business value, and scale successful implementations into production environments.
- Experiment with emerging AI tools, platforms, orchestration frameworks, and agentic systems to identify practical enterprise applications and scalable operational improvements.
- Seek opportunities to improve operational effectiveness through automation, AI-enabled workflows, streamlined operations, and scalable delivery practices.
- Define program goals, success metrics, reporting structures, and KPI frameworks tied to adoption, operational efficiency, quality, ROI, and business impact.
- Partner with stakeholders to align intake processes, prioritization frameworks, governance models, SLA tracking, risk management, and post-launch measurement.
- Identify and proactively manage delivery risks, dependencies, organizational blockers, and escalation paths.
- Provide ongoing executive communication, program visibility, and strategic recommendations to leadership teams.
- Operate effectively across highly matrixed organizations and engage stakeholders ranging from front-line operators to executive leadership.
- Serve as a trusted advisor to client stakeholders across technology, operations, product, and business organizations.
- Help organizations adopt AI-enabled ways of working through stakeholder engagement, operational change management, communication, enablement, and governance.
- Ensure AI solutions become embedded into day-to-day operations by driving user adoption, workflow redesign, process enablement, and measurable operational improvement.
- Support development of repeatable playbooks, frameworks, best practices, and delivery methodologies for scalable enterprise AI transformation.
- Mentor consultants, managers, and delivery teams while supporting delivery excellence across engagements.
- Support business development efforts including client presentations, solution shaping, proposals, opportunity qualification, and executive discussions.
- Contribute to the growth of Sia’s AI transformation practice through thought leadership, internal collaboration, capability building, and go-to-market development.
- Build strong long-term client relationships and identify opportunities for expanded transformation support.
Requirements
- Strong consulting and transformation leadership experience
- Hands-on experience identifying, designing, building, and operationalizing AI-enabled solutions within enterprise environments
- Experience partnering directly with business teams to redesign workflows, implement AI-enabled processes, validate outcomes, and drive measurable operational change
- Ability to navigate ambiguity, manage competing priorities, influence executive stakeholders, and lead cross-functional teams through large-scale enterprise transformation initiatives
