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TruistHead of AI Enablement
Senior technology leader responsible for AI and GenAI solutions across Wholesale Technology for Truist. Collaborating with business executives and engineering teams to drive measurable value through AI applications.
About the role
- 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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