About the Role
We are seeking a Senior Data & Analytics Practice Coordinator to support the growth, efficiency, and innovation of a high-performing Data & Analytics practice. This is a senior, primarily internal-facing role focused on enabling successful presales activities, managing intellectual property initiatives, driving research and development efforts, and supporting overall practice operations.
You will work closely with practice leadership to improve delivery readiness, enhance internal capabilities, strengthen reusable assets, and help shape the future direction of the practice. This opportunity is ideal for an experienced data professional who enjoys combining technical expertise with operational, commercial, and product-focused responsibilities.
About the Client
You will be working with an award-winning Data & AI consultancy that partners with leading organisations to deliver modern data, analytics, and AI solutions. The organisation is recognised for its strong technology partnerships, innovative approach, and commitment to helping clients unlock value through data-driven transformation.
The business fosters a collaborative and supportive culture where continuous learning, knowledge sharing, and professional growth are highly valued.
Ideal Profile
Experience
- 6+ years of experience in data engineering, analytics, or data consulting with a strong delivery background.
- Experience within consulting, professional services, or client-facing environments.
- Exposure to presales activities, proposal development, solution scoping, and effort estimation.
- Experience contributing to or managing internal products, accelerators, frameworks, or intellectual property initiatives.
- Proven ability to operate effectively in a remote and collaborative environment.
Technical Expertise
- Strong understanding of the Microsoft Data & AI ecosystem, including Microsoft Fabric, Azure Data Services, and related technologies.
- Practical knowledge of data engineering and analytics concepts, including data modelling, ETL/ELT processes, governance, and modern lakehouse or warehouse architectures.
- Proficiency in SQL and working knowledge of Python and/or PySpark.
- Familiarity with CI/CD practices and tools such as Azure DevOps or GitHub Actions.
- Experience leveraging AI-powered tools to improve productivity, delivery quality, and operational efficiency.
Desirable Skills
- Experience with backlog and product management tools such as Azure DevOps Boards or Jira.
- Exposure to capability development programs, communities of practice, or internal training initiatives.
- Understanding of resource planning, utilisation reporting, or consulting operations.
- Familiarity with Power BI or similar reporting and analytics platforms.
Certifications (Preferred)
- Microsoft Certified: Fabric Data Engineer Associate and/or Fabric Analytics Engineer Associate.
- Microsoft Certified: Azure Data Engineer Associate.
- Microsoft Certified: Azure Solutions Architect Expert.
- Databricks certifications.
- Other relevant Data & AI certifications.
Professional Attributes
- Excellent written and verbal communication skills.
- Strong stakeholder engagement and client communication capabilities.
- Highly organised with the ability to manage multiple priorities simultaneously.
- Product and backlog management mindset focused on continuous improvement and business value.
- Passion for mentoring, coaching, and enabling others to succeed.
- Proactive, pragmatic, and solutions-oriented approach to work.
Responsibilities
Presales Support
- Support sales and consulting teams in responding to new business opportunities through proposals, statements of work, and presentation materials.
- Participate in discovery sessions and stakeholder discussions to gather requirements and shape solution approaches.
- Translate business needs into practical data and analytics solutions leveraging modern Microsoft technologies.
- Develop effort estimates, resource plans, and engagement approaches.
- Maintain and improve reusable presales assets, templates, case studies, and capability materials.
Intellectual Property (IP) Management
- Coordinate and manage the practice’s intellectual property portfolio, including accelerators, frameworks, internal tools, and reusable assets.
- Prioritise and maintain the IP backlog, ensuring initiatives deliver measurable value.
- Review and improve contributions from consultants and engineers to ensure quality, consistency, and reusability.
- Support onboarding and engagement of contributors across the practice.
- Contribute directly to documentation, design, and technical enhancements where required.
Research & Development
- Lead targeted R&D initiatives focused on emerging Data & AI technologies.
- Evaluate and implement opportunities to leverage AI tools that enhance consulting, engineering, proposal development, estimation, and delivery outcomes.
- Share learnings, demonstrations, and best practices across the broader team.
- Develop practical guidance and playbooks that enable adoption of new capabilities.
Practice Management
- Support operational processes including timesheet reviews, utilisation monitoring, and resource planning activities.
- Assist with workforce visibility, skills mapping, and capability development initiatives.
- Maintain skills and knowledge matrices to identify development opportunities and capability gaps.
- Analyse utilisation and performance trends and provide insights to practice leadership.
- Contribute to ongoing practice improvement initiatives and operational excellence.
Client Advisory Support
- Provide occasional support to client engagements through technical reviews, advisory activities, workshops, and solution scoping.
- Assist with specialist expertise during periods of increased delivery demand.
