- Define the global AI & Intelligent Automation strategy, fully aligned with enterprise digital transformation and innovation goals.
- Establish governance frameworks for AI ethics, model transparency, and Responsible AI, ensuring adherence to regulatory and risk requirements (e.g., NIST AI RMF, EU AI Act).
- Serve as the senior executive sponsor for AI architecture, operating model design, and enterprise adoption roadmap.
Enterprise AI & GenAI Ecosystem (not exhaustive or limiting)
- Oversee the design and deployment of enterprise grade AI solutions using Python, .NET, and cloud native MLOps pipelines.
- Direct teams working with advanced frameworks such as PyTorch, TensorFlow, Hugging Face, ONNX Runtime, and LangChain, along with orchestration tools including Semantic Kernel, LangGraph, and CrewAI.
- Drive responsible integration of Large Language Models (LLMs) from OpenAI, Anthropic, Google Gemini, and Mistral, including deployment through Azure OpenAI Service or Vertex AI.
- Implement RAG architectures and manage vector databases (Pinecone, Weaviate, FAISS, Milvus) to power enterprise knowledge intelligence platforms.
- Lead the evolution of the enterprise data landscape using modern platforms such as Databricks, Snowflake, Azure Synapse, and BigQuery.
- Oversee data engineering with Apache Airflow, dbt, and Prefect, ensuring performance, governance, and alignment with enterprise metadata standards (Collibra, Alation, Microsoft Purview).
- Drive adoption of Delta Lake, Iceberg, and Hudi to support scalable data lakehouse architectures.
- Ensure high quality, compliant, and reliable data foundations for ML and analytics workloads.
Cloud, Infrastructure & MLOps
- Champion multi cloud architecture across Azure, AWS, and GCP.
- Ensure resilient, secure, and cost efficient deployments using Docker, Kubernetes (AKS/EKS/GKE), and Terraform/Bicep.
- Lead enterprise MLOps capabilities using Azure ML, SageMaker, Vertex AI, MLflow, and Kubeflow, integrated with CI/CD (GitHub Actions, Azure DevOps, Jenkins, Argo CD).
- Oversee observability and monitoring using Prometheus, Grafana, ELK/EFK, and OpenTelemetry.
Enterprise Integration with .NET Ecosystems
- Guide the integration of AI/ML pipelines into enterprise scale .NET Core applications and service oriented architectures.
- Modernize legacy systems through microservices, REST/gRPC APIs, and event driven architectures (Azure Service Bus, Kafka).
- Implement secure DevSecOps practices-SonarQube, Checkmarx, Vault, Azure API Management-in line with enterprise compliance standards.
- Drive end to end intelligent automation initiatives using Power Automate, Blue Prism, and Automation Anywhere.
- Integrate cognitive services (Azure Cognitive Services, AWS Comprehend, Form Recognizer, Speech/Translation APIs) to enhance workflow intelligence.
- Lead enterprise process mining using Celonis, Power BI Process Mining, and ProcessGold.
- Oversee integration of analytics and AI capabilities to deliver measurable business impact.
- Advance analytics maturity using Power BI, Looker, and Azure Analysis Services.
- Promote predictive and optimisation modelling using PyCaret, Prophet, and Optuna to strengthen data driven decision making.
Security, Compliance & Responsible AI
- Ensure alignment with enterprise security frameworks (SOC2, ISO27001, NIST).
- Oversee identity and access management via Azure AD, OAuth2, OpenID Connect, and enterprise IAM systems.
- Champion ethical AI practices, including bias detection, explainability, and responsible use frameworks such as the Azure Responsible AI Dashboard.
- Build and lead high performing global teams across data science, engineering, and automation.
- Foster a culture of innovation, continuous learning, and responsible experimentation.
- Engage with the broader AI ecosystem-including academia, hyperscalers, and startups-to identify emerging technologies and partnership opportunities.
Preferred Background
- Proven experience integrating Python based AI with enterprise .NET ecosystems.
- Deep expertise across multi cloud environments, data governance, and enterprise grade DevSecOps.
- Demonstrated success delivering large scale transformation programs with measurable ROI.
- Strong executive presence with exceptional communication and stakeholder management skills.