{"id":3372749,"url":"https://alion.io/job/sab-ai-analytics-lead","title":"AI & Analytics Lead","company":{"id":1933667,"name":"SAB","domain":"sab.co.za","url":"https://alion.io/company/sab-co-za","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"C","score":66,"open_postings":48,"ghost_share":0.646,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":11,"computed_at":"2026-10-30T05:48:23Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Sandton, South Africa"],"countries":["ZA"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":33000,"max_usd":82000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1286},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[],"status":"live","first_seen_at":"2026-10-27T00:00:00Z","employer_posted_date":"2026-10-27","last_verified_at":"2026-10-30T16:47:19Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":2},"description":"Dreaming big is in our DNA. It’s who we are as a company. It’s our culture. It’s our heritage. And more than ever, it’s our future. A future where we’re always looking forward. Always serving up new ways to meet life’s moments. A future where we keep dreaming bigger. We look for people with passion, talent, and curiosity, and provide them with the teammates, resources and opportunities to unleash their full potential. The power we create together - when we combine your strengths with ours - is unstoppable. Are you ready to join a team that dreams as big as you do?\nThe key purpose of the AI & Analytics Lead is to lead cross-functional jetski teams that identify, shape, deliver and scale high-value AI, automation and analytics solutions across the Africa business. As the problem owner for assigned initiatives, the role is accountable for defining the business problem, aligning stakeholders, coordinating delivery and ensuring that solutions achieve measurable adoption and value. The position combines business consulting, analytics, solution design, delivery leadership and change adoption. It requires a strong ability to translate ambiguity into structured business problems, define practical analytical approaches, coordinate technical delivery and ensure that outputs are adopted by users and embedded into business routines. The role is expected to be hands-on where appropriate: building early analysis, prototypes, dashboards, prompts, workflows, process documentation or decision-support tools, while knowing when to involve data engineering, architecture, AI engineering or automation specialists for scalable delivery.\nKey Roles and Responsibilities:\nProblem Framing and Opportunity Discovery\nPartner with business leaders and SMEs to understand business challenges, operational pain points and decision-making needs.\nFacilitate structured discovery sessions to translate broad or ambiguous requests into clear problem statements, hypotheses and success criteria.\nIdentify where AI, analytics, automation, process redesign or data products can create measurable value.\nAssess opportunities using business impact, urgency, complexity, feasibility, data readiness and adoption potential.\nDevelop concise opportunity briefs, value cases and delivery recommendations for product leadership review.\nJetski Leadership and Delivery Coordination\nLead the assigned jetski as the day-to-day problem lead, ensuring business context is understood and delivery remains focused on outcomes.\nCoordinate input from business SMEs, data engineering, AI / automation engineering, architecture support and product management.\nMaintain clarity on scope, milestones, dependencies, assumptions, decisions, risks and issues.\nTranslate business needs into requirements, user stories, process maps, acceptance criteria and test scenarios.\nSupport rapid delivery cycles from discovery through proof of concept, pilot, deployment, adoption and handover.\nAnalytics, AI and Automation Solution Shaping\nDevelop or support early-stage analysis, prototypes, dashboards, prompt flows, workflow concepts and decision-support tools.\nWork with technical team members to shape practical solution options that balance value, speed, simplicity, governance and scalability.\nValidate outputs with SMEs and users to ensure analytical logic, business rules and recommendations are fit for purpose.\nContribute to the design of AI and automation solutions by documenting use cases, user journeys, prompts, controls, exception logic, reporting needs and adoption requirements.\nEnsure that solutions are understandable, usable and embedded into business routines rather than remaining as isolated technical deliverables.\nStakeholder Engagement, Adoption and Change\nAct as the bridge between business users, technical specialists and product leadership.\nCommunicate complex analytical or technical concepts in clear, practical business language.\nPrepare stakeholder updates, storytelling packs, training material, user guides and adoption support where required.\nDrive user testing, feedback loops, adoption tracking, and continuous improvement after deployment.\nBuild trust with business teams by demonstrating pace, pragmatism, business empathy, and delivery discipline.\nValue Realisation and Continuous Improvement\nDefine the expected business outcome, leading indicators, adoption indicators and benefit logic for each assigned initiative.\nTrack realised or evidenced value in partnership with business owners and product leadership.\nComplete post-implementation reviews to capture lessons learned, scale opportunities and reusable assets.\nIdentify opportunities to replicate successful solutions across markets, functions, or business processes.\nContribute to the development of repeatable methods, templates and ways of working for the Africa Analytics & AI capability.\nKey Attributes and Competencies:\nProblem Solving - Structures ambiguous business problems into clear questions, hypotheses, options and next actions.\nPrioritisation - Balances value, urgency, feasibility and effort when shaping jetski work.\nCuriosity - Explores new AI, analytics and automation possibilities without losing business focus.\nAgility - Moves quickly between topics, functions and delivery stages while maintaining quality.\nExcellence - Agility - Moves quickly between topics, functions and delivery stages while maintaining quality.\nResilience - Maintains momentum through ambiguity, shifting priorities, feedback and blockers.\nBoldness - Challenges unclear requests, proposes practical options and drives action.\nCollaboration - Works effectively across business, product and technical teams.\nDevelop - Shares methods, templates and lessons learnt to raise capability across the team.\nMinimum Requirements:\nBachelor's degree in Business Science, Economics, Statistics, Data Analytics, Information Systems, Engineering, Computer Science, Behavioural Science, Visual Communication or a related field.\n5+ years in analytics, insights, business analysis, strategy, process improvement, digital transformation or related roles.\nDemonstrated experience translating business problems into analytical approaches, solution requirements or decision-support tools.\nExperience working directly with business stakeholders and cross-functional delivery teams.\nExperience managing multiple priorities, ambiguous requests and tight turnaround work.\nStrong evidence of structured problem-solving, stakeholder communication and practical implementation.\nAdditional Information:\nBand: VI\n\nAB InBev is an equal opportunity employer, and all appointments will be made in- line with AB InBev employment equity plan and talent requirements. Internal applicants require Line manager approval. 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