Posted on: 01/09/2025
Company : A Valued Client of Options Executive Search.
Website : Visit Website.
Business Type : Enterprise.
Company Type : Product & Service.
Business Model : B2B.
Funding Stage : IPO/Public.
Industry : Marketing Technology.
Job Description :
Reports to : Chief Information Officer (Global).
Dotted Line Reporting : Director - Strategic Growth & Client Success (India).
About The Role :
Key Performance Objectives :
- Deliver client-ready AI solutions : Design, prototype, and deploy at least two high-impact AI/ML models (e.g., marketing portfolio optimisation, audience segmentation, or content personalisation) that deliver measurable business outcomes.
- Build scalable RAG systems : Architect and launch a Retrieval-Augmented Generation platform that enables global teams to intelligently query and apply decades of project data, increasing knowledge accessibility and efficiency by at least 30%.
- Break down data silos : Collaborate with data teams to unify fragmented, real-world datasets and establish a scalable platform that enables cross-agency AI workflows within the first year.
- Productize internal AI tools : Enhance and scale the AI-assisted Input Brief initiative into a network-wide capability with at least 50% agency adoption by year one.
- Establish secure, high-performance AI infrastructure : Develop cloud-based, version-controlled AI pipelines that ensure model scalability, monitoring, and compliance with global data privacy standards.
- Drive innovation and influence : Partner with global leadership to translate business challenges into AI-powered solutions, while introducing at least two innovations from emerging AI/ML research to the organization.
Desired Qualifications :
- Demonstrated hands-on experience building modern Retrieval-Augmented Generation (RAG) systems with frameworks such as LangChain or LlamaIndex, and vector databases such as Pinecone or Chroma.
- Advanced proficiency in Python and core AI/ML libraries (TensorFlow, PyTorch, scikit-learn, Hugging Face). Strong grounding in NLP and unstructured text data.
- Experience with at least one major cloud platform (AWS, GCP, Azure) for AI deployment.
- Comfort with ambiguity and fragmented data-adept at turning messy inputs into structured, actionable insights.
- Ability to design and manage complex AI workflows, including meta-agents, API integrations, and large-scale data transformations.
- Skilled at communicating complex technical concepts clearly to non-technical stakeholders.
- Experience with MLOps principles and tools (MLflow, Kubeflow) is a plus.
- Prior experience in marketing, advertising, or consulting environments is advantageous but not required.
What We Offer :
- Direct impact on a global portfolio of iconic brands.
- A collaborative, innovative culture with room for experimentation and growth.
- Competitive salary and benefits package.
Did you find something suspicious?