2 дня назад
Director, Data & AI
196 350 - 292 600$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Director, Data & AI (Enterprise Data and AI): Leading the strategy, roadmap, and delivery of enterprise data, BI, and AI/ML capabilities across Sales, HR, Finance, Customer Support, and Professional Services with an accent on semantic modeling, data governance, and responsible AI. Focus on building AI/ML centers of excellence, enabling agentic workflows, operationalizing enterprise data models and catalogs, and ensuring explainable, privacy-compliant AI solutions.
Location: Morrisville, North Carolina, United States; hybrid working environment with in-office and/or in-person expectations
Salary: USD 196,350–292,600 annual on-target earnings
Company
provides enterprise data infrastructure and storage services across Google Cloud, AWS, and Microsoft Azure, supporting traditional workloads and enterprise AI.
What you will do
- Develop and execute the enterprise business intelligence, data, and AI/ML strategy, roadmap, OKRs, and investment priorities.
- Build and operate an AI/ML Center of Excellence with reusable standards, assets, and scalable delivery practices.
- Lead data and AI enablement across HR, Finance, Tax & Treasury, Customer Support, and Professional Services.
- Establish enterprise data models, taxonomies, ontologies, semantic structures, data products, and data catalog capabilities.
- Enable agentic workflows, LLM-based experiences, retrieval-augmented generation, copilots, and predictive analytics with lifecycle management.
- Govern responsible AI, privacy, fairness, transparency, human oversight, audits, and compliance with GDPR, CCPA, PIPEDA, and equivalent regulations.
Requirements
- 10+ years of progressive experience in data, analytics, business intelligence, and AI/ML; enterprise AI adoption experience is required.
- Experience delivering enterprise analytics and agentic AI with measurable business impact in Finance, HR, Customer Operations, or Professional Services.
- Technical depth in cloud data platforms such as Snowflake, Databricks, or BigQuery; semantic modeling, knowledge graphs, MCP, ETL/ELT, and BI tooling.
- Hands-on experience with AI agent development, orchestration, lifecycle management, LLM-based solutions, and predictive modeling.
- Ability to influence VP and C-suite stakeholders, manage complex programs and budgets, negotiate with vendors, and track ROI.
- Bachelor’s or Master’s degree in computer science, data science, statistics, information systems, business analytics, or a related field, or equivalent practical experience.
Culture & Benefits
- Hybrid working environment with in-office and in-person collaboration expectations.
- Focus on initiative, impact, ownership, innovation, and inclusive collaboration.
- Benefits may include health insurance, life insurance, retirement or pension plans, paid time off, leave options, employee stock purchase plans, and RSUs.
- Benefits and compensation packages vary by region and are governed by local laws and company policies.
Hiring process
- Applications are reviewed through the company website.
- Selected stages may use AI tools to support application evaluation and candidate selection, with human decision-making retained.
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