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Head of Gen AI and Intelligence
hace 2 meses
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.
- Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency, as well as effectively supervise the activity of others and create accountability with those who fail to maintain these standards.
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.
- 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.
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:- Lead from the front as a hands-on subject matter expert, architecting and crafting scalable solutions, and driving data excellence across the organization.
- 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 deliver on ambitious product roadmaps to accelerate growth.
Job Family Group: Technology
Job Family: Technology Management
Time Type: Full time
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