Director of Client Solutions

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.