Head of Gen Ai and Intelligence

The IT Business Unit Sr Manager is accountable for management of complex/critical/large professional disciplinary areas. Leads and directs a team of professionals. Requires a comprehensive understanding of multiple areas within a function and how they interact in order to achieve the objectives of the function. Applies in-depth understanding of the business impact of technical contributions. Strong commercial awareness is a necessity. Generally accountable for delivery of a full range of services to one or more businesses/ geographic regions. Excellent communication skills required in order to negotiate internally, often at a senior level. Some external communication may be necessary. Accountable for the end results of an area. Exercises control over resources, policy formulation and planning. Primarily affects a sub-function. Involved in short
- to medium-term planning of actions and resources for own area. Full management responsibility of a team or multiple teams, including management of people, budget and planning, to include performance evaluation, compensation, hiring, disciplinary actions and terminations and budget approval.

**Responsibilities**:

- Functions in a Chief Of Staff capacity to ensure strategy is implemented appropriately.
- Collaborates with IT functional/departmental executives and business leaders to create the business plan for IT.
- Scans the external IT environment to provide a common set of planning assumptions.
- Works on internal communications. Manages mergers & acquisitions and outsourcing activities.
- Ensures business unit is meeting or exceeding components of service level agreements. Resolves complex and varied issues with substantial potential impact.
- Uses in depth understanding of concepts and procedures within own area and basic knowledge of other areas to resolve issues that have impact beyond own area.
- Applies in depth understanding of how own sub function integrates within technology and has commercial awareness.
- Has full management responsibilities for team (includes people, budget and planning).
- Provides evaluative judgment based on analysis of factual information in complicated and unique situations; uses multiple sources of information.
- Impacts the area through responsibility for planning, finances/budget, end results, setting policies and contribution to strategic decisions.
- Persuades and influences others through communication and diplomacy skills; may negotiate with external parties.

**Qualifications**:

- 10+ years of experience in technology planning with commensurate experience in people management.
- Budget management, Risk & Control management, influencing skills

**Education**:

- Bachelor’s/University degree, Master’s degree preferred

**SKILLS**:

- ** 5+ years of hands-on experience designing and implementing elegant machine learning models at internet scale.**:

- ** High level experience in AI/ML fundamentals.**:

- ** Strong background in software.**:

- **Up-to-date knowledge of AI/ML technologies and their trends, including various libraries and tools.**:

- ** Built feature stores and auto ML capabilities**:

- ** End to end ML work and deploying of models**:

- ** Knowledge of how full stack SaaS products work, scale and perform**:

- ** Commercial experience building architecture on AWS.**:

- ** Expertise with cutting edge technologies such as transfer learning, unsupervised feature generation, meta-learning, generative text models, computer vision, sensor fusion, or reinforcement learning.**:

- ** Proficient in deep programming to implement solutions in production.**:

- ** Advanced data science and mathematical skills (e.g. PhD in computational modeling, machine learning, statistics, computer science).**:

- ** Experience with modern databases, cloud environments, and data ecosystems.**:

- ** Experience defining and leading large-scale projects with multiple stakeholders.**:

- ** Experience within a leadership role where you have proven success with building and maintaining teams.**

**ROL**:
**Responsible for overseeing the development and implementation of machine learning strategies within an organization. They lead a team of machine learning experts who design, build, and deploy machine learning models to solve complex business problems.**

**DUTIES**:

- ** Architect a full ML Platform and build out the infrastructure to support scalability.**:

- ** Provide collaborative leadership to build out the AI function, MLEs, MLOps and Data Engineering.**:

- ** Collaborate with stakeholders and project managers to turn business goals into technical solutions.**:

- ** Define best AI/ML driven practices and AI lifecycle.**:

- ** Oversee model training and optimization.**:

- ** Coach and mentor our team as we build scalable data and machine learning solutions.**:

- ** Build and deploy end to end ML models and leverage metrics to support predictions, recommendations, search, and growth strategies.**:

- ** Inform and del