Delivery Management leader/Enterprise Architect

InfiCare Staffing; California; On-site; USD 180,000 - 260,000; Full time

Job summary

InfiCare Staffing seeks an experienced Delivery Management Leader / Enterprise Architect to drive strategic engagements across data, analytics, AI, and cloud programs in the Bay Area. You will architect scalable solutions, govern large delivery efforts, and work with executive stakeholders.

The role requires hands-on leadership in Snowflake, Databricks, Google Gemini, and AWS, with pre-sales and solution consulting experience highly valued.

Qualifications

• Extensive enterprise architecture and delivery leadership experience.
• Strong customer-facing consulting and executive stakeholder management.
• Experience with Snowflake, Databricks, Google Gemini, and AWS.

Responsibilities

• Define enterprise-wide architecture strategies aligned with business goals.
• Lead architecture assessments, modernization, and digital transformation programs.
• Design scalable solutions across Data, Analytics, AI/GenAI, and Cloud.
• Oversee delivery governance including scope, budget, timelines, and risk.
• Engage CXO/VP stakeholders and facilitate architecture reviews and roadmaps.
• Support pre-sales, solution consulting, and expansion opportunities.

Skills

Snowflake

Databricks

Data Lakehouse

Data Warehousing

Data Governance

GenAI

AWS Cloud

AI Governance

MLOps

Executive presence

Delivery leadership

Job description

Job Title: Delivery Management leader/Enterprise Architect

Duration: Full time

Travel will be required between different client sites within bay area

Position Summary

We are seeking a highly experienced Enterprise Architect & Delivery Management Leader to drive strategic customer engagements, solution architecture, and delivery governance across Data, Analytics, AI, and Cloud transformation initiatives. The ideal candidate will possess a strong blend of enterprise architecture, program delivery leadership, customer engagement, and technology consulting expertise.

This role will serve as a trusted advisor to enterprise customers, helping define technology roadmaps, architect scalable solutions, oversee delivery execution, and support business growth initiatives. Experience across Snowflake, Databricks, Google Gemini, and AWS is essential. Prior experience supporting pre-sales, solution consulting, and executive stakeholder management is highly desirable.

Key Responsibilities

• Enterprise Architecture & Technology Leadership

• Define enterprise-wide architecture strategies aligned with customer business objectives.
• Lead architecture assessments, modernization initiatives, and digital transformation programs.
• Design scalable solutions across Data Platforms, Analytics, AI/GenAI, and Cloud ecosystems.
• Establish architecture governance, standards, and best practices.
• Create technology roadmaps and migration strategies for legacy modernization.
• Serve as executive-level advisor for architecture reviews and strategic decision-making.

Delivery Management & Program Leadership

• Lead large-scale data, analytics, AI, and cloud transformation programs.
• Own end-to-end delivery governance including scope, budget, timelines, risk management, and customer satisfaction.
• Manage geographically distributed delivery teams and multiple workstreams.
• Drive program execution using Agile, Scrum, DevOps, and hybrid delivery methodologies.
• Ensure high-quality project delivery through established governance frameworks and KPIs.
• Resolve escalations and proactively manage delivery risks.
• Build trusted relationships with CXO, VP, and Director-level stakeholders.
• Facilitate executive workshops, architecture reviews, and roadmap discussions.
• Translate business priorities into technology solutions and measurable outcomes.
• Partner with customer leadership teams to drive innovation initiatives and business value realization.

Pre-Sales & Business Development Support (Preferred)

• Support sales teams in customer pursuits, solutioning, and strategic account growth.
• Participate in discovery workshops, RFP/RFI responses, and proposal development.
• Present solution architectures, delivery approaches, and transformation roadmaps.
• Help identify expansion opportunities across Data, AI, Analytics, and Cloud services.
• Assist in effort estimation, solution costing, and resource planning.

Required Technical Skills

Data & Analytics Platforms

• Snowflake
• Databricks
• Data Lakehouse Architecture
• Enterprise Data Warehousing
• Modern Data Platforms
• Data Governance & Data Quality

AI & Generative AI

Experience designing and implementing solutions leveraging:

• Google Gemini
• Retrieval Augmented Generation (RAG)
• AI Agents and Agentic AI
• LLM-based Enterprise Solutions
• MLOps and AI Governance

Strong hands-on and architectural expertise in:

• AWS Data Services
• AWS Analytics Services
• AWS AI/ML Services
• Cloud Security and Governance

• Executive presence and communication skills.
• Strategic thinking and business acumen.
• Strong customer-facing consulting experience.
• Ability to influence senior leadership and business stakeholders.
• Cross-functional leadership and team management.
• Problem-solving and decision-making under ambiguity.
• Strong negotiation and relationship-building skills.