Senior Analyst, Value Creation – AI Transformation

🕒 Julho 24

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QAD

SiteLinkedInTodas as Vagas

1001 - 5000 funcionários

Fundada em 1979

🏭 Manufatura

📦 Logística

🍽️ Alimentos e Bebidas

Manufacturing • Logistics • Food & Beverage

A QAD é uma empresa especializada em soluções de planejamento de recursos empresariais e transformação industrial. Sua plataforma Adaptive Enterprise ajuda as empresas a otimizar processos, alinhar pessoas com tecnologia e gerenciar desafios empresariais críticos. As ofertas da QAD incluem software para manufatura, gestão de inventário, planejamento de cadeia de suprimentos, gestão da qualidade e conformidade com o comércio global. Suas soluções atendem uma variedade de indústrias, incluindo automotiva, produtos de consumo, alimentos e bebidas, manufatura industrial e mais. A empresa foca em se tornar uma empresa adaptável integrando agendamentos avançados e insights baseados em dados.

Descrição

• Support Enterprise Value Creation Initiatives • Help translate high-level strategic priorities into specific, measurable initiatives with clear owners, milestones, KPIs, dependencies, and expected business impact • Build and maintain initiative trackers, value bridges, KPI dashboards, business cases, and executive reporting materials • Partner with functional teams across Engineering, Product, GTM, Support, Professional Services, Customer Success, Finance, HR, and Legal to track progress, identify blockers, and support issue resolution • Support regular operating rhythms, including leadership reviews, SteerCo materials, initiative readouts, and follow-ups from executive discussions • Conduct analysis to size opportunities, assess benefits, track actual vs. planned impact, and identify areas requiring management attention • Help Drive QAD’s AI Transformation Agenda • Support the identification, prioritization, and tracking of AI initiatives across functions, including Engineering productivity, Support diagnostics and resolution, Professional Services automation, GTM productivity, Finance / BI enablement, HR, and Legal • Help structure AI use cases into clear problem statements, workflows, data / system requirements, expected outputs, adoption metrics, and business outcomes • Define and track AI success metrics, including adoption, usage depth, cycle time reduction, productivity improvement, throughput, quality, backlog reduction, and financial impact • Partner with business teams, technical teams, and external vendors to move AI initiatives from concept to pilot to scaled deployment • Support executive-level reporting on AI transition progress, including Board / leadership updates, initiative status, benefits realization, risks, and key decisions needed • Help establish practical measurement models that link AI usage to operational outcomes, not just activity • Support Operating Model and SI Transition Work • Support enterprise operating model workstreams, including current-state diagnostics, future-state design, workflow decomposition, role / responsibility mapping, and implementation planning • Help coordinate across internal teams, third-party advisors, and implementation / systems integration partners to ensure continuity between strategy, design, and execution • Support the transition from high-level transformation design to detailed L3 / L4 workflow definition, requirements, blueprints, PRDs, and implementation roadmaps • Track dependencies, risks, decisions, and follow-ups across internal teams and external partners • Help ensure implementation partners are set up with the right context, documentation, governance, and success metrics to execute effectively in later phases • Build Executive-Ready Analysis and Materials • Prepare concise, high-quality materials for senior leadership discussions, operating reviews, Board updates, and cross-functional working sessions • Synthesize inputs from interviews, data, transcripts, functional plans, and project updates into clear insights and recommended actions • Build Excel / Sheets-based analyses, KPI trees, initiative scorecards, benefit trackers, and simple financial models • Convert ambiguous or unstructured inputs into clear problem statements, decision points, and next steps • Ensure reporting focuses on outcomes, value delivery, risks, and decisions needed — not just activity updates

🎯 Requisitos

• 2–5 years of experience in management consulting, private equity value creation, corporate strategy, business operations, transformation, program management, or a similar analytical / execution-oriented role • Strong analytical skills, including comfort with Excel / Google Sheets, financial logic, KPI analysis, business cases, and operational metrics • Strong written and verbal communication skills, with the ability to synthesize complex inputs into clear, executive-ready materials • Demonstrated ability to manage multiple workstreams, track follow-ups, and drive accountability across cross-functional teams • Comfort working with senior stakeholders and translating ambiguous asks into structured outputs • High ownership, strong attention to detail, and the ability to operate independently in a fast-paced environment • Interest in AI, business transformation, software, enterprise technology, or operational improvement

🏖️ Benefícios

• health and well being programs to help you strike a healthy work-life balance • Opportunity to join a growing business, launching into its next phase of expansion and transformation • Collaborative culture of smart and hard-working people who support one another to get the job done • An atmosphere of growth and opportunity, where idea-sharing is always prioritized over level or hierarchy