Senior Director, AI & Data Architecture

1 Month ago • 22-25 Years
Research Development

Job Description

As the Senior Director of AI & Data architecture, you will be a key contributor and the regional leader of the AI, Data & Analytics team. You will be responsible for developing and driving the strategic vision for the organization's AI & Data architecture, ensuring alignment with business objectives and technology roadmaps. This role includes functional management responsibilities for local AI, Data & Analytics teams, providing guidance, mentorship, and oversight for project execution. It requires people management, performance management, team development, and resource allocation. A strong background in Data & AI strategy definition and implementation, excellent leadership, communication skills, and a deep understanding of the business and technology landscape are essential.
Good To Have:
  • Good understanding of various Data platforms (Datalake, DWH, Datamarts, Document management, Data interoperability (ETL, API mgt))
  • Good skillset on AWS Tech Stack
  • Familiarity with DevOps practices and tools for data pipelines
  • Knowledge of data security, governance and compliance requirements
  • AI ops competencies
  • Ability to develop good relationships with key technical leaders and subject matter experts
  • Strategic and creative thinking for issue analysis and solutions
  • Ability to define a data & AI platform as a service
  • Ability to work unsupervised
  • Ability to respond positively to feedback and implement changes
  • Ability to work in a fast-paced environment and adapt to changing business priorities
Must Have:
  • Crafting the organization's Data & AI strategy and roadmap.
  • Collaborating with cross-functional stakeholders.
  • Overseeing the implementation and deployment of Data & AI solutions.
  • Fostering a culture of innovation and experimentation.
  • Providing functional leadership and guidance to local AI, Data & Analytics teams.
  • Developing and mentoring the AI, Data & Analytics teams.
  • Representing the organization's Data & AI capabilities and thought leadership in local region, external forums, conferences, and industry events.
  • Manage multiple vendors relationship.
  • Maintain strong partnership with D&A team and other IT teams.
  • Addresses issues with impact beyond own team.
  • Being the India Local region D&A leader (including functional management).
  • Monitoring and reviewing the work of staff members, including conducting annual performance reviews.
  • Ensuring staff compliance with Risk and Compliance policies.
  • Participate in hiring and recruitment efforts, including interviews.
  • University degree or the equivalent combination of education and experience.
  • Minimum of 22-25 years’ experience in Data & AI Architecture.
  • Proven AI strategy definition experience.

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Summary:

As the Senior Director of AI & Data architecture, you will be a key contributor and the regional leader of the AI, Data & Analytics team. In this role, you will be responsible for developing and driving the strategic vision for the organization's AI & Data architecture, ensuring alignment with business objectives and technology roadmaps.

As the regional leader, you will have functional management responsibilities for local AI, Data & Analytics team, providing guidance, mentorship, and oversight to ensure the successful execution of AI & Data projects and initiatives.

This role requires people management responsibilities, such as performance management, team development, and resource allocation.

To be successful in this role, you should have a strong background in Data & AI strategy definition and implementation, coupled with excellent leadership and communication skills. Experience in people management and a deep understanding of the business and technology landscape are also highly desirable.

If you are a strategic thinker, a passionate advocate for Data & AI innovation, and a collaborative leader, this Senior Director of AI Strategy role presents an exciting opportunity to drive the organization's digital transformation and shape the future of its AI capabilities.

Duties and Responsibilities:

  • Crafting the organization's Data & AI strategy and roadmap, identifying opportunities to leverage AI technologies to drive business value and competitive advantage.
  • Collaborating with cross-functional stakeholders, including business leaders, IT, and data teams, to align Data & AI initiatives with organizational priorities.
  • Overseeing the implementation and deployment of Data & AI solutions, ensuring they meet technical, security, and compliance requirements in an cost effective way.
  • Fostering a culture of innovation and experimentation, encouraging the exploration of emerging AI technologies and use cases.
  • Providing functional leadership and guidance to local AI, Data & Analytics teams, ensuring consistent execution and knowledge-sharing across the organization.
  • Developing and mentoring the AI, Data & Analytics teams, identifying and nurturing talent to build a high-performing, future-ready workforce.
  • Representing the organization's Data & AI capabilities and thought leadership in local region, external forums, conferences, and industry events.
  • Manage multiple vendors relashionship.
  • Maintain strong partnership with D&A team and other IT teams (Cloud, infrastructure, cyber security,…)
  • Addresses issues with impact beyond own team based on knowledge of related disciplines

Supervisory Responsibilities

  • Being the India Local region D&A leader (including functional management)
  • Monitoring and reviewing the work of staff members, including conducting annual performance reviews.
  • Ensuring staff compliance with Risk and Compliance policies (SOX, AVA Assessments, SOP Creation, etc.) and completion of assigned compliance training sessions throughout the year
  • Participate in hiring and recruitment efforts, including interviews for employees across the Data & Analytics department.
  • Other duties as assigned

Minimum Qualifications:

  • University degree or the equivalent combination of education and experience required.
  • This position requires a minimum of 22-25 years’ experience, with hands on experience in the Data & AI Architecture area + proven AI strategy definition experience.

Knowledge, Skills and Abilities:

  • A good understanding of various Data platforms, Cloud or on-prem (Datalake, DWH, Datamarts, Document management, Data interoperability (ETL, API mgt),…)
  • Require someone having good skillset on AWS Tech Stack
  • Experience with AI and Gen AI is essential, with proven AI strategy definition experience
  • Familiarity with DevOps practices and tools for data pipelines
  • Knowledge of data security, governance and compliance requirements
  • AI ops competencies to improve our Operation efficiency.
  • Ability to develop good relationships with key technical leaders and subject matter experts and gain their trust
  • Provide strategic and creative thinking to analyze issues that may arise, and create solutions or remediations.
  • Abilities to define a data & AI platform as a service for enabling other IT teams to benefit of it.
  • Ability to work unsupervised.
  • Ability to respond positively to feedback and implement changes to processes and procedures as needed.
  • Ability to work in a fast-paced environment and adapt to changing business priorities.

Physical Demands and Work Environment:

  • This position is one that would normally require the person to work in a temperature-controlled office environment with other professional and management employees and continent workers, with frequent exposure to electronic office equipment.
  • This position will require the employee to maintain hours during a typical day to overlap with team members and business users around the world with special attention to people in the time zones of India, Paris, and the Eastern U.S.
  • This position will likely require the employee to travel a few times annually to physically meet with managers or team members.

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