What you'll do as a data analyst - business technology delivery, your mission is to own, shape, and scale analytics and ai products for latam region, turning business problems into data-driven products that deliver measurable value.you will act as a regional analytics product manager, partnering with business leaders, regional it brms, and global data and ai teams to define roadmaps, prioritize investments, and ensure adoption at scale .
this role combines hands-on execution with product ownership, requiring accountability not just for delivery, but for regional value realization, reuse, and lifecycle management of analytics products.this role reports to the it sr.brm central functions latam.what success looks like in this role within your first * months, you will: have some analytics or ai use cases live in production be recognized by business partners as "the person who helps us get value from data" consistently reuse and scale solutions via the global data hub spoke model clearly demonstrate business impact (cost, productivity, service, quality, or decision speed) influence regional leadership decisions through data products you own core responsibilities (execution‐focused)1.business problem discovery prioritization you will: meet regularly with business stakeholders and it brms understand key processes, kpis, and pain points convert vague requests ("we need a dashboard") into clear problem statements help prioritize use cases based on value and feasibility deliverables you own: produce use‐case definitions problem statements and success metrics prioritized analytics demand backlog2.use case translation solution shaping you will: translate business needs into analytics and ai requirements define what data is needed, from where, and for what purpose align solutions to existing global platforms and data products avoid "one‐off" or local-only solutions deliverables you own: use‐case briefs (problem, data, solution, value) high‐level solution outlines aligned to global standards3.delivery coordination execution you will: work with global data teams (data engineers, analytics engineers, data scientists) support planning, execution, testing, and deployment act as the business-facing owner during delivery ensure solutions are understandable and usable by end users you are not coding everything, but you must understand: power bi, sql, python basics how data flows through snowflake and analytics platforms deliverables you own: delivered dashboards, models, or analytics products business sign‐off and user readiness4.value tracking adoption you will: define how success will be measured before delivery track adoption and usage after go‐live quantify value (time saved, cost avoided, better decisions) communicate results in simple, business language deliverables you own: value cases and benefit tracking postimplementation impact summaries5.governance, standards reuse you will: ensure solutions follow enterprise standards for: data quality security and privacy responsible ai promote reuse of existing data products and models help reduce duplication across regions deliverables you own: compliance with governance standards reusable analytics assets6.regional analytics product ownership roadmap you will: own a portfolio of analytics and ai products for latam region define and maintain a regional analytics roadmap aligned to business priorities and global strategy balance new demand vs. technical debt vs. scaling existing products make trade-off decisions on scope, timing, and investment act as the single accountable owner for product success in the region deliverables you own: regional analytics product roadmap (quarterly / annual) product charters with clear value hypotheses prioritized backlog aligned to regional business outcomes sunset, scale, or enhancement decisions for existing products how you will spend your time (typical split) 30% working directly with business stakeholders 25% shaping and translating use cases 25% coordinating delivery with data teams 10% tracking value and adoption 10% learning platforms, tools, and business processes what we expect you to learn quickly how clarios business functions make decisions how the global data hub spoke model works how analytics products move from idea → delivery → value how to communicate confidently with both business and technical teams qualifications (execution‐aligned) required bachelor's degree in it, data, engineering, business, or related field 2+ years in data, analytics, bi, ai, or digital roles hands‐on exposure to tools like power bi, sql, python, snowflake ability to explain data insights to non‐technical audiences strong ownership mindset and willingness to drive things to completion preferred experience in a global or federated environment familiarity with agile, product, or data‐product delivery models exposure to manufacturing, supply chain, finance, or commercial domains why this role is a strong growth opportunity high visibility with business and it leadership exposure to enterprise‐scale data and ai platforms clear path toward roles such as: senior analytics business partner data product manager analytics or ai lead #li-lg1