Data & AI Strategy Leader

🕒 il y a 2 mois

🇺🇸 États-Unis – Télétravail

⏰ Temps Plein

🟠 Senior

🧐 Stratégie

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phData

Site WebLinkedInTous les Emplois

201 - 500 employés

Fondée en 2014

💼 Conseil

🏥 Santé

🏭 Fabrication

💰 €2 500 000 Seed Round en 2018-03

Consulting • Healthcare • Manufacturing

phData est une entreprise spécialisée dans la fourniture de solutions d'ingénierie de données, d'analytique et de migration vers le cloud. Elle propose des services comprenant des stratégies d'IA et d'apprentissage automatique, d'analytique et de visualisation, ainsi que des opérations élastiques pour aider les entreprises à construire et à mettre en œuvre des produits et applications de données modernes. phData est un partenaire d'élite de Snowflake et fournit des services de conseil de bout en bout pour développer des applications de données modernes et traiter efficacement de vastes ensembles de données. Elle répond aux besoins d'industries telles que la santé, les services financiers et la fabrication en optimisant les plateformes de données et en fournissant des informations exploitables grâce à une technologie de pointe et une expertise avérée.

Description

• Lead AI & data strategy engagements end-to-end: problem definition, readiness assessment, use case prioritization, and design of roadmaps and operating models tied to revenue, customer experience, and innovation objectives • Own engagement delivery; manage scope and risk, maintain executive-level stakeholder relationships (including C-suite), and facilitate high-impact discovery, prioritization, and "art of the possible" workshops • Bridge the gap between business needs and technology: develop balanced technical, organizational, and process recommendations and build compelling narratives and rigorous business cases for AI/data investments • Architect future-state AI & data operating models and technology stacks with a focus on safety, scalability, TCO, and regulatory compliance • Provide delivery oversight for AI/data platforms; ensure execution aligns with agreed strategy; own quality of all engagement outputs and coach project team members on consulting fundamentals and business impact • Serve as a trusted advisor to day-to-day client sponsors and senior stakeholders, owning relationships, aligning on delivery roadmaps, and surfacing expansion opportunities • Partner with executive sponsors, data and analytics leaders, product and delivery teams, and business end users to ensure seamless execution and measurable outcomes • Build cross-practice relationships (Data Engineering, Analytics, AI/ML, Advisory) to design and deliver end-to-end solutions that drive customer success • Contribute to phData's AI & Data Strategy offerings: methods, frameworks, accelerators, and client-ready collateral • Support sales pursuits, client presentations, and thought leadership focused on AI and data strategy • Mentor consultants and senior consultants on strategic thinking, executive presence, and delivery quality

🎯 Exigences

• 6+ years as a hands-on AI or data strategy leader, owning strategy engagements and roadmaps • 2+ years of consulting leadership with external clients, managing multiple workstreams and teams • Proven ability to engage senior stakeholders (including C-suite) and deliver a clear, compelling story behind recommendations • Experience identifying and prioritizing AI/data opportunities, designing roadmaps and operating models, and building business cases tied to revenue, cost, risk, and customer experience • Strong technical literacy across modern cloud and data platforms, data governance, AI governance, and ML pipelines, and how these connect to business outcomes • Experience leading workshops (discovery, prioritization, "art of the possible"), driving change and adoption, and coaching/mentoring consultants and technical leaders • Track record collaborating with client stakeholders, partners, and cross-functional teams with high ownership and accountability • Extensive experience leading multi-engagement or multi-year AI/data strategy portfolios

🏖️ Avantages

• Remote-first company culture • Opportunities for professional development • Autonomous work environment • Competitive compensation packages