Senior Consultant/Manager | Cyber Operate

During your tenure as a Senior Consultant/ Manager, you will demonstrate and develop your capabilities in the following areas Find and prioritise opportunities · Work with domain leads to map manual, repetitive and high-volume tasks across strategy, technical assessments, risk, compliance, TPRM, governance and performance management · Build a prioritised backlog of AI and automation use cases, with expected time savings, risk and effort for each · Track AI advancements and good practice, and share them with the Innovation Guidance Team and the wider programme Build AI and automation solutions · Design, build and deploy solutions such as: o Evidence and document analysis: reviewing policies, contracts, SOC 2 reports and compliance evidence against required controls o TPRM automation: pre-filling and reviewing supplier questionnaires and flagging gaps o Vulnerability analytics: enriching and prioritising findings using asset, threat and exploit data o Reporting automation: generating draft assessment reports, dashboards and executive summaries o AI assistants: helping the team search frameworks, policies and past work o Anomaly detection: detection use cases with the SOC where relevant · Build data pipelines and integrations with security tools, GRC and TPRM platforms, ticketing systems and Power BI · Choose the right approach for each problem, whether rules, scripts, classical ML or large language models (LLMs), rather than defaulting to AI Make AI secure and responsible · Define standards for safe AI use in the programme: data handling, human review of AI outputs, prompt and model security, and logging · Protect sensitive data: keep it within approved environments and meet PDPL, NCA and SDAIA requirements · Test AI solutions against prompt injection, data leakage and incorrect outputs, following OWASP Top 10 for LLM Applications and NIST AI RMF · Apply MLOps practices: version control, testing, monitoring, model performance tracking and documented governance of each solution Enable the team · Document solutions clearly and train specialists to use them well · Measure adoption and time saved, and report results to programme leadership with the Performance Management team Leadership Capabilities: Builds own understanding of our purpose and values; explores opportunities for impact. Demonstrates strong commitment to personal learning and development; acts as a brand ambassador to help attract top talent. Understands expectations and demonstrates personal accountability for keeping performance on track. Actively focuses on developing effective communication and relationship-building skills. Understands how their daily work contributes to the priorities of the team and the business.  Qualifications: · Total years of experience: 3-7 total professional years. · Bachelor's or Master's in computer science, data science, AI or a related field · Strong Python, with experience shipping ML or LLM-based solutions into real use, not only prototypes · Experience with ML and LLM frameworks (e.g. PyTorch, scikit-learn, LangChain, LlamaIndex or similar) and building retrieval-augmented (RAG) solutions · Experience with cloud AI platforms (Azure OpenAI / Azure AI, AWS Bedrock / SageMaker or GCP Vertex AI) and APIs · Data engineering skills: SQL, pandas and building data pipelines · Understanding of secure and responsible AI practices · Cybersecurity, GRC or risk domain experience · Experience integrating with ServiceNow, Archer, OneTrust or security tool APIs · MLOps tooling (MLflow, Docker, CI/CD) · Knowledge of Saudi AI and data regulations (SDAIA AI Ethics Principles, PDPL) · Arabic language is a plus. · At least one preferred: Microsoft Azure AI Engineer (AI-102), AWS Certified Machine Learning (Specialty or Engineer), Google Professional Machine Learning Engineer. Also valued: ISO/IEC 42001 Lead Implementer, IAPP AIGP.