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About
Data Analytics-VP
Location:
Dallas, TX
Duration:
FullTime
Term:
6+ months
Job Description:
Experience Desired:
12+ Years.
Key Responsibilities Own delivery of multiple concurrent, enterprise-scale data programs, including data platforms, analytics, AI/ML, governance, and regulatory initiatives Establish and run a portfolio-level delivery model, balancing priorities across business units, geographies, and stakeholders Drive disciplined execution using appropriate delivery methodologies (Agile, hybrid, waterfall) based on program context Ensure consistent delivery outcomes across internal teams, system integrators, and external partners Oversee delivery across core data domains, including: Data platforms (lakehouse, cloud data platforms),Data engineering & integration, Analytics & BI, AI / advanced analytics use cases and Data governance, quality, privacy, and lineage Partner closely with architecture, engineering, and security teams to ensure solutions are scalable, resilient, and compliant Ensure delivery aligns with enterprise data standards, reference architectures, and long-term roadmap Serve as a senior delivery partner to business leaders, product owners, and technology executives Proactively manage executive communications, risks, dependencies, and trade-offs Translate complex technical delivery topics into clear business-level updates and outcomes Own delivery budgets, forecasts, and vendor spend across the portfolio Drive productivity, capacity planning, and resource optimization Establish delivery KPIs and metrics tied to business value realization, not just output Required Qualifications
Experience
15+ years of experience in technology or data delivery, with significant experience leading large, complex programs Proven track record delivering enterprise-scale data, analytics, or AI initiatives in a large, matrixed organization Experience working closely with or reporting into a Chief Data Officer or equivalent executive role Strong background managing multiple vendors, system integrators, and global teams
Key Skills:
Data Analytics, Data Science, Data Engineering
Languages
- English
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