Artificial Intelligence Engineering Executive Manager - Paris, France - AXA Group Operations

Description

Our ambition is to be a major catalyst for AXA's transformation into a tech-led company.

Officially launched in January 2019, AXA Group Operations' goal is to support AXA entities around the world in empowering people to live better lives.

As AXA's 'engine', Group Operations is responsible for making the business run on a day-to-day basis, as well as delivering solutions vital to its future. Bringing together seven teams with a wide range of expertise (IT, Data and Emerging Technologies, Security, Finance, Strategic Programs, Procurement and Sourcing, as well as AXA Business Services), we are the ones providing advice, steering technological choices and giving AXA access to innovations that will support its transformation into a customer-centric tech-led company. For this, we work in close partnership with AXA entities.

GROUP EMERGING TECHNOLOGIES & DATA

Group Emerging Technologies & Data drives AXA towards a tech - led company by leveraging data, digital and emerging technologies at scale which have the potential to disrupt the current insurance business model and provide opportunities to shape future businesses.

PRIMARY MISSIONS

He / she will be responsible for the strategic and operational management of the Artificial Intelligence Engineering expertise across the AXA Group, overseeing the engineering maturity increase and development of innovative solutions, and contributing to the AI strategy.

He / she steers and coordinates his/her business area: activities, resources, QoS, costs, delay to achieve the assigned goals.

He / she develops objectives and strategies for the delivery of AI solutions within the company.

He / she ensures the development of his/her team from both operational and career standpoints.

DETAILED ACTIVITIES

• Contribute to the development and implementation of the AXA Technology/Data & Operations (TDO) strategy and the AI & Innovation strategy.
• Lead and supervise a team of 10 expert engineers in artificial intelligence, machine learning, and data, ensuring that performance objectives are met.
• Define and maintain standards and best practices in artificial intelligence engineering to ensure operational excellence.
• Lead the entities increasing maturity levels by industrializing practices and tools in artificial intelligence engineering, including MLOps and LLMOps
• Promote and communicate on any new initiatives through internal activities (Global community of Data Scientist (1400 participants), summit, townhall, ...) and external events.
• Collaborate with other AXA GO divisions (chief architects / CTOs, legal, security, ...) and AXA entities to ensure seamless integration of AI solutions across the organization.
• Maintain continuous technological awareness to stay at the forefront of AI advancements.

SPECIFIC ACTIVITIES

1.Impacts on teams, businesses or AXA GO

Group Emerging Technologies and Data focus on three distinctive capabilities which have the potential to shape and disrupt the future of the insurance business: ARTIFICIAL INTELLIGENCE, DATA and PLATFORMS.

Collaborate with entities to leverage related Technologies and data partnership and deliver a substantial business impact in the short term and medium term

Develop best practices, frameworks, toolboxes, standards and blueprints in collaboration and alignment with Group CIO/CTO

2.Stakeholder management

We accelerate AXA's transformation in data & technology innovation through a strong collaboration with and in OpCos and Group functions..

Ability to drive product vision and progress reviews with senior executive stakeholders.

Ability to establish relationships with stakeholders quickly in order to co-develop use cases with entities and/or external companies

Organize a committee of insurance experts and C-Level advisors challenging the work in progress.

Ability to communicate and explain emerging technologies and business value to the management comities and board of directors

Qualifications

1.Management or leadership activities

Keep teams focused on the right priorities to meet aggressive deadlines; clearly communicate project progress to leads and executive team. Direct supervision of staff: Performance management, career development, education, and training.

Supervise the Internal and External * efforts to drive awareness and adoption of our solutions.

Drive the incorporation our solution within the other AXA IT solutions by identifying and conducting partnership with their product teams.

Work in an international context, teams from labs around the world (Paris, San Francisco, Lausanne, and Barcelona)

2.Functional knowledges

15+ years' experience in Artificial Intellifgence (Data Science, Machine Learning, GenAI, ...) leading design and implementation, and bringing a product from concept to completion.

People person with proved experiences in recruiting, building and managing successful teams.

Ability to attract, select, motivate and inspire data talents

Self-motivated and proactive, with demonstrated creative and critical thinking capabilities.

Self-sufficient in analyzing and drawing conclusions about quality and product opportunity from raw and refined product data.

Great communication and presentation skills, written and verbal, to all levels of an organization.

Strong leadership with a proven ability to communicate to senior executives while leading projects

Strong results-orientation, customer centricity

True team player who can break the silos with tact and diplomacy

Autonomy, curiosity and innovation capability, appetite for continuous learning and improvement

Not afraid of unclear, ambiguous situations with a need to invent success path

Comfortable working in a multidisciplinary team, strongly business oriented

3.Technical proficiency

Strong analytical and problem-solving skills

Strong understanding of data & emerging technologies challenges and IT/technological principles

Good understanding of state-of-the-art machine learning, data, big data technologies, Iot, Geospatial, natural language processing science, GenAI concepts

Good insurance business and customer knowledge to identify use cases and in order to explain technical data-related issued to insurance managers across all hierarchies with business mindset

Professional experience in project management and in change management in a deep business transformation context

Set up and manage our AI development and production infrastructure.

Help AI product managers and business stakeholders understand the potential and limitations of AI when planning new products.

Build data ingest and data transformation infrastructure.

Identify transfer learning opportunities and new training datasets.

Build AI models from scratch and help product managers and stakeholders understand results.

Deploy AI models into production.

Create APIs and help business customers put results of your AI models into operations.

Background in programing language, cloud, Scrum, testing methodology

Keep current of latest AI research relevant to our business domain.

Fluency in English is mandatory