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Tech Stack
Tools & technologiesAmazon RedshiftAWSCloud
About the role
Key responsibilities & impact- 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
- Establish standards and best practices across data engineering, modeling, architecture, governance, quality, and lifecycle management
- 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: Clear ownership, SLAs, and lifecycle management
- Serve as an escalation point and trusted advisor on complex client situations
- Drive adoption of AI across the data lifecycle in client engagements, including: Data discovery, profiling, and quality automation
- Metadata management and semantic layer evolution
- Intelligent pipelines and data observability
- 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
- Develop reusable patterns for feature engineering, ML-ready datasets, and data pipelines supporting AI-driven use cases in client environments
- Serve as Presidio Digital's external voice for Data & Analytics — in client conversations, industry forums, and the broader market
- Develop and drive thought leadership, POVs, and go-to-market narratives on: Modern data platforms and cloud-native architectures
- Data-as-a-product and AI-enabled data ecosystems
- Enable internal teams (Sales, Presales, Delivery) with playbooks, collateral, storytelling, and training
Requirements
What you’ll need- Bachelor's Degree or equivalent experience and / or military experience
- Overall 10+ years in Data & Analytics with progressive leadership experience, including 3+ years in a senior leadership or Practice leadership role
- Hands-on experience supporting pre-sales, solution shaping, and client-facing GTM motions
- Proven ability to build and scale delivery practices — including accelerators, offerings, standards, and talent
- Experience managing or matrixed leadership over teams of data engineers, architects, and analytics engineers
- Demonstrated track record of leading data platform modernization and analytics transformation engagements in a client-facing / consulting services environment
- Strong foundation in data engineering and modern data architectures (lakehouse, medallion architecture, streaming, domain-oriented design) — hands-on roots that inform architectural judgment and the ability to build breadth across platforms and patterns.
- Strong command of cloud data platforms: Snowflake, Databricks, Microsoft Fabric, AWS (Redshift, Glue, Lake Formation), or equivalent
- Solid understanding of data governance, data quality, metadata management, and data lifecycle management
- Familiarity with designing data systems that support AI/ML workloads — feature stores, ML-ready datasets, vector databases
- Awareness of AI/GenAI capabilities grounded in data enablement; partnership with AI engineering teams preferred
- Strong executive presence and ability to influence senior client stakeholders and internal leadership
- Ability to translate ambiguous business needs into structured, deliverable data solutions
- Track record of building GTM narratives, service offerings, and client-facing accelerators
- Proven ability to operate across strategy, delivery, and commercial growth — balancing all three simultaneously
- Exceptional communicator — able to distill complex data and technical concepts into clear, compelling narratives for any audience; equally comfortable presenting to a C-suite executive or a team of data engineers, and skilled at building polished, insight-driven content and presentations that drive decisions
- Actively uses AI tools and platforms to accelerate their own work — from research and content creation to analysis and delivery preparation; models AI-first ways of working for the broader team
- Experience in a technology consulting, professional services environment is strongly preferred.
Benefits
Comp & perks- Competitive salary
- Remote work options
- Professional development budget
- Home office setup allowance
- Global team events
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data engineeringmodern data architectureslakehousemedallion architecturestreamingdata governancedata qualitymetadata managementAI/ML workloadsfeature stores
Soft Skills
leadershipinfluencecommunicationstorytellingproblem-solvingclient engagementstrategic thinkingcollaborationpresentation skillsthought leadership
Certifications
Bachelor's Degreemilitary experience