Technology Partner – Banking and Financial Services

🕒 il y a 7 mois

🇺🇸 États-Unis – Télétravail

⏰ Temps Plein

🟠 Senior

🔴 Expert

💸 Planification et Analyse Financières (FP&A)

🦅 Parrain de Visa H1B

Cette entreprise a parrainé des visas H1B par le passé.

👻 Score fantôme 56%

Ce que ça veut dire : la probabilité que personne ne recrute vraiment pour cette offre.Comment le lire : 60 % ou plus, on pense que c'est une offre fantôme. Un score plus bas est moins inquiétant.Comment on la calcule : ancienneté, republications, postes ouverts vs taille de l'équipe, rapidité de clôture, et si le salaire est indiqué.À noter : une estimation à partir de données publiques, pas un jugement sur l'entreprise. De vraies offres peuvent avoir un score élevé, alors prenez-le comme un indice, pas comme un fait.

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Tiger Analytics

Site WebLinkedInTous les Emplois

1001 - 5000 employés

Fondée en 2011

🏥 Santé

📦 Logistique

📣 Marketing

Healthcare • Logistics • Marketing

Tiger Analytics est une société de conseil en IA et analyse de données de premier plan, spécialisée dans l'exploitation de la science des données et de l'apprentissage automatique pour fournir des insights stratégiques aux entreprises dans divers secteurs. Elle offre des services en stratégie de données, ingénierie de l'IA, et intelligence d'affaires pour permettre la prise de décisions basée sur les données et la transformation numérique de ses clients. Tiger Analytics collabore avec des partenaires technologiques de renom comme Microsoft, Google Cloud et AWS pour offrir des solutions de pointe. Elle intervient dans divers secteurs, y compris les biens de consommation courante, la santé et les finances, aidant les entreprises à opérationnaliser les insights et à se démarquer grâce aux technologies d'IA et d'apprentissage automatique.

Description

• Provide thought leadership and engage with clients • Advise data leaders at strategic clients through forward-looking advisory and thought leadership • Conduct brown bags and educational forums for core clients • Review client platforms, organizations, and practices and provide improvement recommendations, solutions, and roadmaps • Lead technology transformation agendas rooted in Data and Insights across technology, organization, and processes • Help recruit key talent for client technology roles • Create detailed technology solutions for complex and first-of-a-kind initiatives • Present Tiger Analytics capabilities to new prospects • Create solutions and proposals for client requirements • Mentor engineering talent at different levels • Manage architect resources • Create thought leadership content for go-to-market offerings, including reference architectures, methods, and practices • Participate in interviews and help evolve hiring practices • Liaise with offshore counterparts on solutions, training, and capabilities development • Recommend strategies to improve resiliency and security and optimize costs

🎯 Exigences

• Bachelor's degree in Computer Science or relevant experience in Information Systems • 10+ years of relevant experience building solution architectures and technology platforms • 5+ years of experience in consulting leadership roles • Experience with large enterprise data applications • Ability to operate as a senior leader independently and connect with senior stakeholders • Extensive Banking and Financial Services (BFS) experience • Experience developing solution architectures for large enterprises and transformation programs • Strong experience with traditional and modern data platforms, including NoSQL, MPP, columnar, big data, and cloud data platforms • Experience with AWS, Azure, and GCP cloud data platform services • Experience with batch ETL, real-time streaming, and IoT architectures • Experience with Big Data, Data Fabric, and Data Mesh architectures • Experience with federated and centralized data management practices and technologies, including data governance • Experience establishing data governance and data catalogs, with deep understanding of data security • Experience and expertise with MLOps processes, platforms, and organizational implications • Experience with ML models and modeling lifecycles • Experience with data warehousing, BI lifecycles, and related technologies • Experience with DevOps techniques, Infrastructure as Code, deployment patterns, and programming languages such as Python, Java, Scala, Rust, .NET, and scripting • Knowledge and experience with knowledge graphs and graph technologies • Experience with digital customer data platforms, martech platforms, clickstream data processing, and digital analytics platforms • Strong ownership, agility, and entrepreneurial spirit • Ability to collaborate with multiple client and internal stakeholders • Ability to work with abstract problem statements and guide stakeholders through a consultative, collaborative approach • Ability to review architecture requirements and recommend effective solutions • Ability to recommend strategies to improve resiliency, security, and cost optimization

🏖️ Avantages

• Significant career development opportunities • Opportunity to work in a small, fast-growing, challenging, and entrepreneurial environment • High degree of individual responsibility • Equal employment opportunities protected by federal, state, and local law

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