Director of Client Solutions â Data & AI
Director of Client Solutions â Data & AI
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Job Description
Role Summary
We are a dynamic data solutions team dedicated to helping organisations unlock value through advanced analytics data products and subscription-based insights. Our team thrives on collaboration innovation and delivering measurable impact for clients across diverse industries such as Retail Media Government and Financial Services.
As a Client Solution Lead you will play a pivotal role in ensuring seamless project delivery managing subscription services and driving continuous improvement in an agile environment.
Summary of key Responsibilities
Core Data Science & Engineering Leadership :
Lead a multi-disciplinary data team fostering technical excellence and innovation
Drive the design and delivery of data and AI solutions ensuring scalability and performance
Apply strong coding skills in Python SQL and Spark to guide solution architecture and troubleshoot complex issues
Ensure best practices in data engineering including data pipeline design optimisation and governance
Translate complex data into actionable insights for clients influencing strategic decisions
Lead development and deployment of machine learning models including Large Language Models (LLMs) Generative AI and Agentic AI solutions.
Delivery Leadership & Governance:
Lead an agile delivery squad ensuring consistent delivery standards optimal resource utilisation and continuous learning
Oversee governance processes including utilisation tracking quality assurance and compliance with service-level agreements
Act as the primary escalation point for technical and delivery issues ensuring timely resolution and client satisfaction
Own sprint planning and resource allocation; manage ticket assignment peer review and quality gates
Facilitate core agile ceremonies such as pipeline/resource meetings sprint planning and retrospectives
Developing strategic roadmap for Client Solution and raise profile of the talents in the broader organisation
Subscription Management:
Manage the full lifecycle of data subscriptions to clients including pipeline intake SLA adherence QA/QC processes and troubleshooting
Ensure seamless delivery of insights and coordinate with stakeholders to maximise client value from subscriptions.
Stakeholder Engagement & Coordination:
Serve as the single point of contact for delivery operations collaborating with onshore and offshore teams to align capacity and timelines
Partner with business development and practice specialists to ensure smooth handover from pre-sales to delivery
Maintains up-to-date project documentation and ensures high-quality accurate deliverables
Ensures project deliveries are within timelines and budget requirements.
Capability Building & Innovation:
Champion the development and industrialisation of new capabilities to enhance client solutions and market competitiveness
Identify training needs and drive technical capability uplift across data engineering data science and visualisation.
This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.
Qualifications :
Professional
10 years of proven experience leading large-scale data projects and managing multi-disciplinary teams.
Strong program management and governance skills with a track record of delivering complex projects on time and within scope.
Excellent communication and stakeholder management skills with the ability to influence and collaborate across diverse teams.
Subject matter expert in different areas of analytical methodologies to solve business challenges
Excellent people leader experience in managing a data team is preferred
Excellent communicator being able to translate data into business insights
Experienced in managing multiple projects and initiatives
Superior analytical and problem-solving skills with demonstrated intellectual and analytical rigor
Must be team oriented collaborative diplomatic and flexible with excellent presentation skills including strong oral and writing capabilities
Experienced in working across a matrixed organization.
Technical
Advanced proficiency in Python SQL and Spark for data processing and analytics.
Hands-on experience with machine learning models LLMs Generative AI and Agentic AI applications.
Familiarity with agile tools and workflows (e.g. JIRA) and quality assurance frameworks.
Understanding of data transfer protocols (e.g. SFTP S3) and operational data pipelines.
Proficiency in using data visualisation tools (such as Tableau).
Business
Excellent relationship and stakeholder management skills
Expert in presenting ideas and analysis to stakeholders and at leadership level
Very detailed oriented is expected to ensure the highest level of quality/rigor in reports & data analysis
Global mindset desire and demonstrated ability to work cross-culturally and in a matrixed organization
Ability to execute and solve problems independently
Proven skills in translating analytics output to actionable recommendations and delivery
Multi-disciplinary thinking skills: creative analytic strategic.
Additional Information :
Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race color religion sex national origin sexual orientation gender identity disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.
Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
