Head of Data AI

Our data team has expertise across engineering analysis architecture modeling machine learning artificial intelligence and data science. This discipline is responsible for transforming raw data into actionable insights building robust data infrastructures and enabling datadriven decisionmaking and innovation through advanced analytics and predictive modeling. 

As a Head of Data & AI at Endava you will drive our organizations data and AI strategy leading cuttingedge initiatives for our clients that transform their business through advanced analytics and artificial intelligence.

• Grow the regional data capability to successfully deliver projects in all data related areas (data engineering data architecture data science data analysis)
• Contributing to mentoring leading and hiring data scientists machine learning & data engineers AI specialists data analysts and/or data architects as needed.
• Contribute to the design development and implementation of advanced analytics and AI solutions for clients
• Collaborate with crossfunctional teams to identify and prioritize highimpact data and AI client projects
• Participate in and contribute to client discovery calls presales and proposal development
• Ensure the ethical use of AI and adherence to data governance and compliance standards
• Stay abreast of emerging trends and technologies in data science and AI
• Present insights and recommendations to executive leadership to drive datainformed decisionmaking
• Foster a culture of innovation and continuous learning within the data and AI team
• Develop and implement best practices for data management quality and security

Qualifications :

• Educational background in Computer Science Data Science or a related field (Masters degree or Ph.D. preferred but not required)
• 10 years of experience in one or more of the following: data science data analysis data architecture data engineering. 
• Proven track record of successfully leading and implementing largescale data and AI projects
• Advanced knowledge of data analytics machine learning and AI technologies
• Proficiency in programming languages such as Python and R
• Experience with big data technologies like Hadoop and Spark
• Strong project management skills and ability to lead crossfunctional teams
• Excellent communication and presentation skills with the ability to translate complex technical concepts to nontechnical stakeholders
• Deep understanding of AI ethics and responsible AI practices
• Knowledge of data governance and compliance regulations
• Relevant certifications (e.g. AWS Machine Learning Specialty Google Cloud Professional Data Engineer) are a plus
• Ability to work effectively in a multicultural environment and collaborate with global teams
• Willingness to travel occasionally for business purposes

Additional Information :

Discover some of the global benefits that empower our people to become the best version of themselves:

• Finance: Competitive salary package share plan company performance bonuses valuebased recognition awards referral bonus;  
• Career Development: Career coaching global career opportunities nonlinear career paths internal development programmes for management and technical leadership;
• Learning Opportunities: Complex projects rotations internal tech communities training certifications coaching online learning platforms subscriptions passiton sessions workshops conferences;
• WorkLife Balance: Hybrid work and flexible working hours employee assistance programme;
• Health: Global internal wellbeing programme access to wellbeing apps;
• Community: Global internal tech communities hobby clubs and interest groups inclusion and diversity programmes events and celebrations.

Our diversity makes us stronger it drives meaningful change and enables us to build innovative technology solutions. We are committed to creating an inclusive community where all of us regardless of background identity or personal characteristics feels valued respected and free from discrimination. As an equal opportunity employer we welcome applications from all individuals and base hiring decisions on merit skills qualifications and potential.

Remote Work :

No

Employment Type :

Fulltime