AI Training & Enablement Intern designing and delivering AI training sessions for various teams at 73 Strings. Engaging teams to collect workflows and translate them into training sessions.
About the role
- Manage client-facing Data & AI projects at Enfuse, building cloud data platforms and accelerators. Mentor consultants and drive practice growth.
Responsibilities
- Lead end-to-end consulting engagements from strategy and architecture to delivery and assurance
- Translate client business objectives into actionable data and AI strategies, solutions, and measurable outcomes
- Oversee design and build of modern data platforms and accelerators across Snowflake, Databricks, BigQuery, and cloud environments (Azure, AWS, GCP)
- Ensure governance, standards, and compliance are embedded in client solutions aligned to industry best practice
- Manage client relationships at senior levels acting as trusted advisor and escalation point
- Manage and mentor Senior Data Consultants and other team members providing coaching, career development, and performance feedback
- Foster a collaborative inclusive high-performance consulting culture
- Lead recruitment onboarding and ongoing capability development of the consulting practice
- Shape and promote AI-enabled data accelerators (architecture patterns, dbt frameworks, governance toolkits)
- Support proposals pitches and client conversations to contribute to business development
- Develop thought leadership on data and AI trends relevant to specialist industries
- Help refine service portfolio and go-to-market strategies to align with evolving client needs
Requirements
- Strong consulting background with experience in data strategy, architecture, governance, analytics, and AI enablement
- Demonstrated leadership in delivering cloud-first data platforms (Azure, AWS, or GCP)
- Experience with modern warehouse/lakehouse technologies (Snowflake, Databricks, BigQuery)
- Familiarity with dbt
- Familiarity with orchestration tools (ADF, AWS Glue, Google Dataflow)
- Familiarity with CI/CD frameworks (Azure DevOps, GitHub Actions, etc.)
- Deep understanding of data governance, metadata, and compliance (GDPR, PCI, etc.)
- Excellent stakeholder management and communication skills
- Strong problem-solving and structured thinking skills
- (Desirable) Direct experience in higher education, travel and tourism, retail, or hospitality (QSR)
- (Desirable) Knowledge of real-time data processing (Kafka, Kinesis, Pub/Sub)
- (Desirable) Familiarity with customer data platforms (CDPs), loyalty systems, or marketing analytics
- (Desirable) Awareness of AI/ML integration in operational environments
Benefits
- Competitive salary and pension
- Company performance bonus
- Travel allowance
- Private medical healthcare
- £40 monthly wellness allowance
- Gym membership discounts
- Eye test vouchers
- 25 days holiday (plus public holidays)
- Option to buy 5 extra days
- 1 company day off
- 1 volunteering day off
- In-house training and professional development support
- Monthly 1:1 career path meetings
- Support for professional certifications
- Employee assistance program
- Birthday gift and themed care packages
- Regular team meet-ups and social events
- Sustainable company swag
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
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