Insure Technology

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Title: Executive Vice President, Data Engineering & Analytics Location: East Coast, USA (Remote) Employment: Full-Time | Executive Leadership About the Opportunity Insure Technology is partnering with a top-tier data, analytics, and AI consulting firm to identify an Executive Vice President of Data Engineering & Analytics—a senior leader responsible for driving large-scale data engineering strategy, complex enterprise delivery, and high-impact pre-sales across Fortune 500 clients. This is a high-visibility role in one of the fastest-growing areas of professional services, and the ideal candidate brings a rare mix of technical depth, delivery discipline, organizational leadership, and commercial acumen. The firm specializes in modern ecosystems —Azure, Databricks, Snowflake —and partners with enterprise clients to modernize data platforms, drive analytics transformation, and embed AI/ML capabilities. What You Will Lead 1. Executive Pre-Sales & Growth Leadership (≈60%) • Lead and shape pre-sales for multimillion-dollar data engineering & analytics modernization programs. • Architect solutions, design delivery models, and craft compelling customer value narratives. • Present to C-suite and senior technology leaders with clarity, confidence, and technical credibility. • Differentiate through accelerators, reusable IP, and proven delivery excellence. 2. Delivery Oversight & Enterprise Program Governance (≈25%) • Ensure execution quality across large-scale, multi-cloud, multi-platform data initiatives. • Govern scope, budget, schedule, and risk with disciplined executive oversight. • Intervene in at-risk or complex programs to stabilize delivery and reset customer expectations. • Drive excellence across architecture, engineering, analytics, and cloud teams. 3. Technology Strategy, IP Development & Innovation (≈15%) • Guide the firm’s next generation of accelerators in data engineering, analytics, and AI. • Evaluate emerging cloud/AI trends and shape strategic offerings. • Serve as a visible thought leader in the modern data ecosystem. • Strengthen the firm's positioning across Databricks, Snowflake, Microsoft, and cloud partners. The Type of Leader Who Excels Here Background & Firm Fit Candidates who tend to thrive in this environment often come from strong professional services backgrounds, with boutique data engineering consulting + direct experience selling & delivering large data programs. What This Role Requires 1. Real Technical Depth Must have the ability to: • Explain the architectural fundamentals of Databricks, Delta Lake, modern lakehouse patterns • Describe the core innovations behind LLMs and ChatGPT in clear, business-aligned terms • Diagnose data engineering issues across infrastructure, security, dependencies, and scaling • Demonstrate genuine project-level architectural leadership (not “slideware architects”) 2. Serious Delivery Leadership • Not simply “Agile experience”—but true end-to-end delivery evaluation • Ability to manage large programs with discipline, structure, and executive-level governance • Understanding of how enterprise-size data initiatives succeed or fail in the real world • Experience running multi-team data engineering and analytics organizations 3. Executive Presence & Consultative Leadership • Earn trust with highly intelligent and detail-oriented partners • Know when to escalate, when to resolve, and always bring solutions—not problems • Communicate clearly to both technical and business stakeholders 4. Commercial & Pre-Sales Maturity • Experience shaping $1M+ data engineering deals • Clear articulation of value, differentiation, accelerators, and delivery quality • Ability to lead discovery, handle pricing objections, and guide deal structure with confidence Key Traits the Client Values • High integrity, high trustworthiness • Structured, logical, and precise thinking • Ownership mindset and proactive leadership • Exception-based management style • Respect for technical rigor and disciplined delivery • Ability to work collaboratively with Kusal—intelligent, organized, decisive