Lead AI Strategist

Job Description: Lead AI Strategist (Technical)

Driving AI Transformation Across Diversified Business Verticals

Position: Lead AI Strategist (Technical)

Role Overview

We are seeking a forward-thinking, technically adept AI Strategist to spearhead our AI and RPA (Robotic Process Automation) initiatives at the enterprise level. As the lead AI Strategist, you will collaborate across all business functions to identify, plan, and execute AI-driven transformation projects, ensuring measurable improvements in both business outcomes and employee productivity. This position is tailored for a hands-on strategist with a strong technical foundation in AI platforms, RPA, data analytics, and ERP systems, who can serve as a bridge between business strategy and technical execution.

Key Responsibilities

• AI & RPA Roadmap Development: Design, implement, and refine a comprehensive AI and RPA strategy aligned with company objectives, business unit needs, and evolving market trends.
• Cross-Departmental Collaboration: Engage with stakeholders across diverse business units—including automotive, IT, energy, geo and material testing, logistics, travel, engineering, retail, and all back-office functions—to understand department-specific use cases and pain points.
• Business Use Case Identification: Work closely with department heads and process owners to identify high-impact AI and RPA opportunities that address both operational efficiency and employee productivity.
• Solution Architecture & Technical Leadership: Lead the design and implementation of AI/ML models, RPA solutions, and data analytics platforms. Ensure all technical solutions are scalable, secure, and aligned with the company's IT architecture.
• ERP Integration: Identify opportunities to leverage AI and automation within ERP systems, enhancing core business processes such as HR, finance, legal, supply chain, and customer relationship management.
• Change Management: Develop strategies to facilitate digital transformation, including employee training, communication, and adoption of AI-driven solutions.
• Performance Measurement: Define KPIs and success metrics for all AI/RPA projects. Track ROI, productivity gains, and business impact, reporting progress to executive leadership.
• Continuous Learning & Innovation: Stay abreast of the latest developments in AI, RPA, data analytics, and Gen C technologies. Foster a culture of experimentation and innovation within teams.
• Vendor & Partner Management: Evaluate and manage relationships with third-party vendors and technology partners, ensuring solutions are cost-effective and future-ready.
• Risk Management & Compliance: Ensure all AI and automation deployments comply with internal policies, industry standards, and relevant legal or ethical guidelines.

Desired Skills & Qualifications

• Education: Bachelor's or Master's degree in computer science, Engineering, or a related technical discipline.
• Experience:
• Minimum 7 years of professional experience in AI, machine learning, data analytics, robotic process automation, or related technical business application fields.
• At least 2 years of experience in a strategic role, leading AI initiatives, defining AI roadmaps, and aligning AI solutions with business objectives.
• Technical Proficiency:
• Strong foundation in AI/ML platforms, including generative AI, natural language processing (NLP), computer vision, and deep learning.
• Proven experience overseeing AI/ML and robotic process automation (RPA) solution deployment, with direct involvement in architecting integration strategies.
• In-depth understanding of ERP systems, their data structures, and how AI and automation can augment business processes.
• Proficiency in integrating AI solutions with enterprise software such as Oracle and SAP, ensuring robust data flows and operational impact.
• Skilled in using advanced data analytics and visualization tools, including Power BI, Tableau, and others, to drive actionable business insights and strategic decisions.

Business Acumen
: Experience working across diverse industries and business functions—including automotive, IT, energy, logistics, engineering, retail, and back-office functions. Ability to translate business challenges into technical solutions.

Project Management
: Proven ability to lead cross-functional teams, manage multiple projects simultaneously, and deliver results on time and within budget.

Communication & Stakeholder Management
: Excellent communication, presentation, and interpersonal skills. Ability to influence and collaborate effectively with technical and non-technical stakeholders at all levels.

Change Leadership
: Experience driving cultural and operational change in complex organizations. Adept at managing resistance and fostering buy-in for digital transformation initiatives.

Adaptability
: Comfortable working in a dynamic, fast paced, and multi-disciplinary environment.

Certifications (Preferred):
Relevant certifications in AI, RPA, enterprise architecture, and project management are highly advantageous.

Key Performance Indicators (KPIs)

• Number of AI/RPA initiatives successfully launched and scaled across business units
• Measured improvements in business process efficiency and employee productivity
• ROI and business impact of implemented AI solutions
• User adoption rates and satisfaction with AI-driven tools
• Up-skilling and enablement of internal teams in AI and automation practices

Opportunities & Challenges

• Opportunities: This role offers the chance to architect and influence the AI journey of a large, multifaceted organization, working with passionate teams and leveraging a vast array of data and business processes.
• Challenges: Navigating complex legacy systems, diverse stakeholder needs, and ensuring organization-wide alignment in a rapidly evolving technological landscape.

Reporting Line

This position reports directly to the Group IT Director. As the primary point of contact for AI and RPA strategy within the company, the Lead AI Strategist will collaborate closely with the Group IT Director to ensure alignment with organizational priorities, technical standards, and security protocols. The role involves ongoing collaboration through regular updates, strategic planning sessions, and performance evaluations to support and drive the company's enterprise-wide AI transformation efforts.