Head, Data, Analytics and AI
AI summary
Kenya Airways is hiring a Head, Data, Analytics and AI to lead enterprise data strategy, AI/ML initiatives, and analytics transformation. The role reports to the CIDO and involves data governance, scalable data infrastructure, AI deployment, and building a data-driven culture. The position is based in Nairobi and targets senior professionals with strong leadership and technical experience.
- Senior leadership role driving data, analytics and AI strategy at Kenya Airways
- Reports to the Chief Information and Data Officer and manages the DNA department
- Involves a multi-year budget plan including USD 2,500,000 investment oversight
- Requires 7+ years in data/AI and at least 5 years in leadership
- Focus on data governance, AI/ML deployment, cloud platforms and data literacy
AI job guide
Use this guide to check salary signals, requirements, documents, application steps and safety before you apply.
AI salary guide
Not enough public dataNot enough public salary data is available for this exact role. Before applying, prepare to ask about gross pay, benefits, contract length, probation period, transport and any allowances.
Can you qualify for this role?
- Required7+ years of relevant experienceThe job post includes a minimum experience signal.
- RequiredEducation or certification mentioned in the postThe captured text mentions education, a diploma, certificate, or licence.
- PreferredPractical evidence in security, part_time, segurancaThe tags and summary point to skills connected with this role.
- RequiredAvailability to work in NairobiThe vacancy is associated with this location.
- UnclearComfort with the Full Time contract termsConfirm hours, duration, probation and benefits at the original source.
Documents to prepare
- Likely requiredUpdated CV
- Role specificCover letter or short employer message
- OptionalProfessional references
- Role specificAcademic or professional certificates
- VerifyID or passport only after verifying the employer
Application tips for this job
- Place your strongest Head, Data, Analytics and AI evidence in the first half of your CV.
- In your cover letter or employer message, connect your experience to Kenya Airways and the role in Nairobi.
- Add concrete examples related to security, part_time, seguranca, ideally with measurable outcomes or clear responsibilities.
- Follow the instructions from JobWeb Kenya; avoid sending documents to unofficial contacts or copied links.
- Confirm the deadline, interview location and employer contact before sharing personal documents.
- Prepare a polite question about pay, benefits and contract terms for later interview stages.
Source and safety check
- JobWeb Kenya
- Original source link available
- Application method is clear
- Deadline not specified
- No major risk signal was detected in the captured text.
Never pay for interviews, shortlisting, medical checks, uniforms, or job placement. Confirm every application at the original source before sharing personal documents. Report suspicious listing.
Interview preparation
- What experience makes you a strong fit for this Head, Data, Analytics and AI role in security, part_time?
- How have you handled responsibilities similar to those in this job post?
- Are you available to work in Nairobi under the listed contract or schedule?
- Prepare examples with clear responsibilities, tools used and measurable outcomes.
- Review the source and research Kenya Airways before the interview.
Ask what the first priorities will be in the role and how success will be measured.
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Original source description
Purpose
The Head, Data, Analytics and Artificial Intelligence (Head-DNA) is responsible for spearheading Kenya Airways (KQ) transformative initiatives in Data, Analytics and Artificial Intelligence (AI). As a key member of the leadership team, you will have the opportunity to drive innovation and create substantial business value through advanced data-informed strategies. Reporting to the Chief Information and Data Officer (CIDO), you will manage the strategic, technical and operational aspects of the Data, Analytics and Artificial Intelligence (DNA) department, recruit top talent, and contribute to KQ’s growth.
Responsibilities
- Collaborate with the Data Privacy Officer to ensure PII data management is classified and managed for legal compliance
- Articulate the current state of data management, future state, and gap analysis for the enterprise regarding its maturity and positioning with respect to peer organizations.
- Establish and enforce best practices for data governance, compliance, quality, and security across the organization.
- Oversee the design, development, and maintenance of scalable data pipelines and infrastructure.
- Ensure data quality, integrity, and security across all data systems.
- Drive the research, development, and deployment of AI and machine learning models to solve complex business problems.
- Ensure the successful integration of AI solutions into existing business processes and systems.
- Stay abreast of the latest advancements in AI and machine learning and evaluate their potential impact on the organization
- .
- Develop and implement the strategic vision for data analytics across the organization, ensuring alignment with business goals.
- Serve as the organization’s subject matter expert on advanced statistical analysis, experimental design, and financial impact analysis.
- Guide the development and implementation of robust analytical methodologies and processes across the organization
- Drive investment and budget planning of USD 2,500,000
- In tandem with the development of the organizations data strategy, the Head-DNA is responsible for the development of a 3-to-5-year plan of required budget to achieve the mission and goals as presented in the strategic plan.
- Collaborate with all functions of the business to ensure data needs are addressed and the required data is modelled and available to analysts and end-users
- Negotiate and manage Service Level Agreements and support contracts with the various Data Science and Analytics service partners to ensure SLA targets are met.
- Foster the creation of a data-driven culture, related competencies and data literacy across the enterprise.
- Provide educational opportunities to the organization’s staff for understanding of Data Governance and Data Stewardship culture, roles and responsibilities.
- Skills
- Strong analytical and problem-solving skills.
- Proven track record of successfully leading data science, data engineering and/or AI teams.
- Excellent leadership, communication, and interpersonal skills.
- An ability to thrive in a fast-paced, dynamic environment and manage multiple priorities effectively.
- Qualifications
- Bachelor’s degree in Statistics, Computer Science, Information Technology, Data Science, Engineering or any other related quantitative field. Master’s degree is plus.
- 7+ years of
Experience
- in data engineering, data science, and/or AI, with at least 5 years in a leadership role.
- Familiarity with AI research and development tools and platforms.
- Extensive
- with machine learning frameworks, generative AI technologies, and big data platforms.
- Strong understanding of data architecture, data governance, and data security best practices.
- with cloud-based data platforms and services (e.g., AWS, Azure, Google Cloud).
- Knowledge of programming languages such as Python, R, Java, and SQL.
- in big data technologies (Redshift, S3, Databricks, Data lakes, Spark).
- Working
- in one of these tools Looker/Tableau/PowerBI.