
1001 - 5000 funcionários
Fundada em 2011
🏥 Saúde
📦 Logística
📣 Marketing
Healthcare • Logistics • Marketing
A Tiger Analytics é uma consultoria líder em IA e analytics, especializada em aplicar ciência de dados e Machine Learning para gerar insights estratégicos de negócio em diversos setores. Oferecemos serviços de estratégia de dados, engenharia de IA e business intelligence, viabilizando a tomada de decisão orientada por dados e a transformação digital de nossos clientes. A Tiger Analytics colabora com parceiros de tecnologia de ponta, como Microsoft, Google Cloud e AWS, para entregar soluções de última geração. Atendemos a uma ampla gama de segmentos, incluindo bens de consumo embalados (CPG), saúde e serviços financeiros, ajudando as empresas a operacionalizar insights e a se diferenciar com tecnologias de IA e Machine Learning.
🕒 Julho 24
🗣️🇺🇸🇬🇧 Inglês obrigatório
Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

1001 - 5000 funcionários
Fundada em 2011
🏥 Saúde
📦 Logística
📣 Marketing
Healthcare • Logistics • Marketing
A Tiger Analytics é uma consultoria líder em IA e analytics, especializada em aplicar ciência de dados e Machine Learning para gerar insights estratégicos de negócio em diversos setores. Oferecemos serviços de estratégia de dados, engenharia de IA e business intelligence, viabilizando a tomada de decisão orientada por dados e a transformação digital de nossos clientes. A Tiger Analytics colabora com parceiros de tecnologia de ponta, como Microsoft, Google Cloud e AWS, para entregar soluções de última geração. Atendemos a uma ampla gama de segmentos, incluindo bens de consumo embalados (CPG), saúde e serviços financeiros, ajudando as empresas a operacionalizar insights e a se diferenciar com tecnologias de IA e Machine Learning.
• Own end-to-end delivery of the Plant Performance Reporting transformation program. • Serve as the primary point of contact for executive business stakeholders program sponsors, and IT leadership. • Lead overall program governance, steering committee meetings, executive status reviews, risk management, and delivery planning. • Develop and manage integrated project plans covering data engineering reporting, validation, UAT, deployment, and change management. • Coordinate rollout across multiple manufacturing plants while managing dependencies related to data readiness, business priorities, and technical delivery. • Drive alignment between Supply Chain Finance, Manufacturing, Plant Controllers, Regional Leadership, and Enterprise IT. • Oversee productionalization of the existing reporting framework into an enterprise-scale Power BI platform. • Ensure successful implementation of standardized KPIs, reporting frameworks, and governance processes across plants, pods, and regional leadership. • Partner with Data Engineering teams to prioritize data quality remediation, Snowflake integration, and reporting readiness. • Coordinate business validation, user acceptance testing, production deployment, and hypercare activities. • Track program milestones, budget, risks, dependencies, and executive action items. • Ensure consistent communication across onshore client teams and offshore delivery teams. • Drive adoption through stakeholder engagement, training coordination, and organizational change management. • Identify opportunities to improve delivery processes, reporting maturity, and future analytics capabilities.
• 12+ years of experience leading large-scale Data & Analytics or Digital Transformation programs. • Demonstrated success managing enterprise programs involving cross-functional business and technology teams. • Strong experience working with Manufacturing, Supply Chain, Operations Finance, or Plant Performance Management initiatives. • Experience managing global delivery teams with distributed onshore/offshore execution models. • Strong understanding of BI and analytics delivery using Power BI, Snowflake, cloud data platforms, and modern data architectures. • Experience managing data integration, reporting modernization, and enterprise dashboard rollouts. • Proven executive stakeholder management skills with experience presenting to Directors, VPs, and C-level leadership. • Experience leading Agile delivery programs and managing multiple parallel workstreams. • Strong financial acumen with the ability to understand operational KPIs, manufacturing metrics, and business performance reporting. • Preferred Qualifications • Experience with Snowflake, dbt, Power BI, and cloud-based analytics platforms. • Understanding of manufacturing ERP ecosystems (SAP, JDE, QAD, Infor, Blue Yonder, etc.). • Familiarity with Supply Chain Finance, Plant Controlling, Product Costing, or Operations Performance reporting. • Experience leading enterprise-wide reporting standardization or business intelligence transformation initiatives.
• Significant career development opportunities exist as the company grows. • Unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.
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