VP - Data Engineering

What are we looking for

real solver?

Solver? Absolutely. But not the usual kind. We're searching for the architects of the audacious & the pioneers of the possible. If you're the type to dismantle assumptions, re-engineer ‘best practices,’ and build solutions that make the future possible NOW, then you're speaking our language.

Your Responsibilities

what you will wake up to solve.

1. Global Delivery & Operational Rigor (The Process Setter)

- Unified Methodology:
Define and enforce a single, unified, globally standardized 'Data Ops-First' methodology for all data engineering delivery (ETL/ELT pipelines, Data Modeling, MLOps, Data Governance). This mandate ensures predictable outcomes and trusted data integrity, eliminating architecture variability across SBUs.
- Operational Efficiency & Stewardship:
Drive strategic initiatives to optimize billable utilization and enhance operational efficiency across the practice. You are the steward of commercial success, ensuring all data delivery models (from migration to modern data stack implementation) are inherently profitable, scalable, and cost-effective.
- Execution Oversight:
Serve as the executive escalation point for critical delivery issues, personally intervening to resolve complex data integration bottlenecks and pipeline failures that threaten client timelines or data reliability standards.
- Quality Governance:
Implement and audit technical data quality standards, ensuring all SBUs adhere to strict policies regarding data lineage, automated quality checks (observability), security/privacy compliance (GDPR/CCPA/PII), and proactive catalog management.

2. Strategic Growth & Practice Scaling (The Practice Architect)

- Talent & Scale Strategy:
Own the global strategy for data engineering talent acquisition, development, and retention. Implement objective metrics to assess and scale the 'Data-Native' DNA across the organization, ensuring we consistently staff high-impact data teams capable of handling petabyte-scale environments.
- Offerings Standardization:
Ensure that all regional offerings (e.g., Modern Data Platform, Data Mesh, Lakehouse Implementation) are built upon the standardized, profitable frameworks defined by the practice, accelerating time-to-insight and reducing architectural fragmentation.
- Innovation & IP:
Drive the strategic integration of Vector Databases and LLM-ready architectures into all data practices and champion the development of IP and reusable accelerators (e.g., automated ingestion engines) that fundamentally improve delivery speed and data availability.

3. Leadership & SBU Management (The Executive Mentor)

- SBU Leadership Management:
Directly lead, mentor, and manage the Directors and Managers of all Data Engineering SBUs, holding them accountable for their regional operational consistency, talent development, and adherence to global data governance standards.
- Executive Communication:
Clearly articulate the data practice's operational status, quality metrics, and scaling strategy to the CTO, CDO, and other C-suite stakeholders.
- Ecosystem Partnership:
Maintain executive-level relationships with key partners (Snowflake, Databricks, AWS/GCP) to align our delivery capabilities with their product roadmaps, securing joint training and enablement opportunities.

Welcome to Searce

The ‘process-first’, AI-native modern tech consultancy that's rewriting the rules.

We don’t do traditional.

As an engineering-led consultancy, we are dedicated to relentlessly improving the real business outcomes. Our solvers co-innovate with clients to futurify operations and make processes smarter, faster & better.

Functional Skills

1. Executive Delivery & Operational Leadership

- Global Delivery Standardization:
Expert capability in defining, implementing, and auditing a unified, scalable delivery methodology (Data Ops, Agile Data Warehousing, Mesh Principles) across geographically dispersed business units.
- Operational Efficiency Mastery:
Proven experience in managing and optimizing key operational metrics for a large data practice, including billable utilization, resource allocation, forecasting accuracy, and operational expense control.
- Contract & Risk…