Senior Director, Data & Analytics

Responsibilities

• Define and lead the Data & Analytics Practice vision, growth strategy, and multi-year roadmap
• Drive evolution from traditional data warehousing to:
  • Modern data platforms (lakehouse, real-time, domain-oriented architectures)
  • AI-enabled data ecosystems built for production-grade analytics and AI workloads
  • AI-enabled data products that deliver governed, reusable, and business-aligned data assets at scale
• Shape how the Practice differentiates in the market through offerings, accelerators, and delivery models
• Act as the Practice's executive voice internally — influencing investment decisions, headcount plans, and strategic priorities
• Provide active oversight and quality assurance on key client engagements, ensuring:
• Strong architecture, scalability, and alignment to client business outcomes
• Consistency in delivery approach, data product thinking, and engineering quality
• Build and scale reusable delivery accelerators, including:
• Ingestion frameworks for batch, real-time, and event-driven pipelines
• Data quality and observability toolkits
• Reusable data products: curated datasets, semantic models, and feature-ready datasets
• Standardized data models and transformation pipelines
• Drive adoption of data-as-a-product principles across client engagements
• Improve delivery velocity through standardization, reuse, and AI-assisted data engineering practices and AI-enabled accelerators
• Serve as an escalation point and trusted advisor on complex client situations
• Drive adoption of AI across the data lifecycle in client engagements
• Partner with our Product Engineering Capability to ensure:
• Client data platforms reliably support AI/ML and GenAI use cases
• Strong architectural alignment between data foundations and application-layer AI capabilities
• Reusable patterns for feature engineering, ML-ready datasets, and data pipelines supporting AI-driven use cases in client environments
• Represent Presidio Digital in:
• Client executive briefings and strategic pursuits
• Industry events, webinars, and conferences
• Client workshops and advisory engagements
• Enable internal teams (Sales, Presales, Delivery) with playbooks, collateral, storytelling, and training
• Partner with Sales and Presales to shape data-led transformation opportunities and support strategic pursuits
• Define and package client-facing service offerings, including:
• Data platform modernization
• Data foundation for AI
• Analytics transformation and data product adoption
• Contribute to pipeline growth in key accounts through proactive opportunity identification and solution shaping
• Develop proposals, delivery models, and value propositions that are competitive and client-outcome-driven
• Contribute to partner-aligned go-to-market motions in close collaboration with Presidio's Partner Alliance group — including co-sell opportunities, joint account planning, and data-platform-specific partner activations (AWS, Microsoft Azure, Google Cloud, Snowflake, Databricks, Microsoft Fabric)

Talent & Practice Development

• Build and mentor a high-performing Data & Analytics team — hiring, developing, and retaining top talent across data engineering, data architecture, and analytics engineering
• Upskill the team toward modern data platforms, cloud-native architectures, and AI-aware engineering practices
• Foster a culture of ownership, accountability, innovation, and cross-team collaboration
• Establish clear career paths, performance expectations, and a consistent standard of delivery excellence