Key Responsibilities
AI Strategy & Leadership
- Define and lead the organisation’s AI strategy aligned with business objectives
- Identify opportunities where AI can drive measurable value and competitive advantage
- Establish AI governance, best practices, and delivery frameworks
- Act as a thought leader for AI across the organisation
End-to-End Delivery
- Lead AI initiatives from ideation, use case definition, and business case development through to production deployment
- Oversee solution design, model development, validation, and operationalisation (MLOps/AIOps)
- Ensure scalability, robustness, and ethical use of AI solutions
Business Partnership & Use Case Design
- Partner with business stakeholders to identify, prioritise, and refine AI use cases
- Translate business problems into AI/ML solutions and technical requirements
- Facilitate workshops and discovery sessions to co-create solutions
Responsibilities
Technical Expertise
- Maintain a strong understanding of AI/ML technologies (e.g., NLP, generative AI, predictive modelling)
- Guide architectural decisions for AI platforms, data pipelines, and integration
- Stay up to date with emerging AI trends and assess their applicability
AI Platform & Adoption
- Define and implement an AI platform strategy (tools, infrastructure, governance)
- Drive adoption of AI capabilities across teams and functions
- Establish reusable components, frameworks, and best practices
Training & Change Management
- Develop and deliver AI training programs for both technical and non-technical audiences
- Build AI literacy across the organisation
- Champion a data-driven and AI-enabled culture
Stakeholder Management
- Engage senior leadership and communicate AI vision, progress, and value
- Collaborate with data, engineering, product, and business teams
- Manage external partners and vendors where required
Qualifications
Required Skills & Experience
- Proven experience delivering AI/ML strategy from concept to production
- Strong understanding of AI/ML techniques, tools, and architectures
- Experience designing and implementing AI platforms and AIOps practices
- Demonstrated ability to translate business problems into AI solutions
- Experience working with cross-functional stakeholders at all levels
- Strong leadership and communication skills
Preferred Qualifications
- Background in Data Science, Machine Learning, Computer Science, or related field
- Experience with cloud platforms (e.g., AWS, Azure, GCP) and AI services
- Familiarity with generative AI and large language models
- Experience in driving organisational change and technology adoption
Key Success Metrics
- Successful delivery of AI use cases into production
- Measurable business impact from AI initiatives
- Adoption and utilisation of AI platforms across the organisation
- Increased AI literacy and capability within teams
Company
At Zensar, we’re
“experience-led everything”. We are committed to conceptualizing, designing, engineering, marketing, and managing digital solutions and experiences for over 130 leading enterprises. We are a company driven by a bold purpose:
Together, we shape experiences for better futures. Whether for our clients, our people, or the world around us, this belief powers everything we do. At the heart of our culture is
ONE with Client - a set of four core values that reflect who we are and how we work:
One Zensar, Nurturing, Empowering, and Client Focus.
Part of the $4.8 billion RPG Group, we’re a community of 10,000+ innovators across 30+ global locations, including Milpitas, Seattle, Princeton, Cape Town, London, Zurich, Singapore, and Mexico City. Explore
Life at Zensar and join us to
Grow. Own. Achieve. Learn. to be the best version of yourself.
We believe the best work happens when individuality is celebrated, growth is encouraged, and well-being is prioritized. We are an equal employment opportunity (EEO) and affirmative action employer, committed to creating an inclusive workplace. All qualified applicants will be considered without regard to race, creed, color, ancestry, religion, sex, national origin, citizenship, age, sexual orientation, gender identity, disability, marital status, family medical leave status, or protected veteran status.