Head of AI-driven Organizational Productivity
12/17/2025
Lead organizational productivity initiatives across core business functions and analyze business processes to identify inefficiencies. Define functional requirements and engage with senior stakeholders to ensure measurable value realization.
Working Hours
40 hours/week
Company Size
501-1,000 employees
Language
English
Visa Sponsorship
No
We are looking for a senior leader to establish and lead our Organizational Productivity consultant practice.
This role focuses on diagnosing business and operational challenges, defining process improvements, and designing AI- and automation-driven solutions that deliver measurable productivity gains for mid-market and enterprise organizations.
This is a strategic, business-oriented role with strong responsibility for process analysis and solution definition, not a hands-on development position.
Key Responsibilities
- Lead organizational productivity initiatives across core business functions (Sales, Operations, Finance, HR, Delivery).
- Analyze and map end-to-end business processes to identify inefficiencies, bottlenecks, and automation opportunities.
- Define functional requirements and solution blueprints for AI, automation, and BI initiatives.
- Translate business needs into clear, structured solution designs for delivery teams.
- Define productivity KPIs and success metrics and ensure measurable value realization.
- Engage with senior stakeholders and lead executive-level productivity and efficiency discussions.
- Build repeatable methodologies, playbooks, and productivity offerings.
Requirements
Requirements
- 6+ years of experience in business operations, consulting, or transformation roles.
- Strong background in process analysis, business analysis, and operating model design.
- Proven experience defining requirements and leading productivity or efficiency initiatives.
- Solid understanding of AI, automation, and data-driven transformation (conceptual and applied).
- Ability to lead solution definition without being deeply hands-on technically.
- Excellent communication skills and executive presence.
- Consulting or professional services background.
- Familiarity with automation platforms, workflow tools, and BI ecosystems (e.g., Power Platform, RPA, analytics tools).
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