AI-Native Data Platform Lead (Hybrid)

The ECA International Group

Greater London

Hybrid

GBP 80,000 - 120,000

Full time

14 days+

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Benefits offered by this job

Enhanced Stakeholder Pension Contribution
25 days annual leave
Health, Life Insurance + EAP Wellbeing Support
Eligible for Annual Bonus Scheme
Long Service Awards
ClassPass Membership
Enhanced Family Leave
Up to £1,000 per year for personal development & training
Season Ticket Loan
Flexible/hybrid Work Environment
Cycle to Work Scheme
Free Eye Test

Job summary

The ECA International Group is looking for a leader to evolve their data platform to become AI-native, facilitating AI adoption across the organization. The role includes designing multi-source data ingestion, building AI endpoints, and leading a technical team within a supportive environment. Candidates should have strong cloud service knowledge and experience in AI applications. The position offers benefits like enhanced pension contributions, 25 days annual leave, and opportunities for personal development, all within a hybrid work model.

Qualifications

  • Experience with cloud services and data platforms.
  • Proficient in AI applications and tools.
  • Demonstrated leadership of technical teams.

Responsibilities

  • Evolve data platform for AI readiness.
  • Design multi-source data ingestion processes.
  • Build AI endpoints for data consumption.
  • Lead a technical team focused on data and AI.
  • Ensure governance and quality in AI implementations.
  • Oversee Agile processes and practices.

Skills

Data platform evolution
AI and data engineering
Leadership and management
AWS
Snowflake
Postgres
Event-driven data pipelines

Job description

The ECA International Group is looking for a leader to evolve their data platform to become AI-native, facilitating AI adoption across the organization. The role includes designing multi-source data ingestion, building AI endpoints, and leading a technical team within a supportive environment. Candidates should have strong cloud service knowledge and experience in AI applications. The position offers benefits like enhanced pension contributions, 25 days annual leave, and opportunities for personal development, all within a hybrid work model.
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