IT

Job Title: Client Account Manager (IT Managed Service Provider)
Location: Milton Keynes
Job Type: Full-Time
Salary: £40,000 plus bonus, uncapped commission

About the Company: My client is a leading IT Managed Service Provider (MSP) committed to delivering top-tier IT solutions and services to their diverse client base. Their focus is on maintaining long-term relationships with their clients and ensuring their IT needs are met with the highest standards of service and professionalism.

Role Overview: I am seeking an experienced and dedicated Client Account Manager with a background in IT Managed Services for my client. The ideal candidate will be responsible for managing and maximising existing client accounts, ensuring client satisfaction, and retaining business without any new business development targets. This role demands excellent communication skills, a proactive approach to client management, and a strong understanding of IT MSP operations.

Key Responsibilities:

• Manage and nurture existing client relationships to ensure high levels of client satisfaction and retention.
• Act as the main point of contact for client enquiries, concerns, and requests.
• Develop and execute account strategies to maximise client engagement and revenue.
• Regularly review and assess client IT needs, providing solutions and recommendations to address any gaps.
• Collaborate with internal teams to ensure seamless service delivery and address any issues promptly.
• Prepare and present regular reports on account status, performance metrics, and client feedback.
• Conduct periodic account reviews and identify opportunities for upselling or cross-selling additional services.
• Stay updated with industry trends and advancements to offer clients the most relevant and effective solutions.
• Ensure all client interactions and transactions are documented accurately in the CRM system.

Qualifications:

• Proven experience as a Client Account Manager or similar role within an IT Managed Service Provider.
• Strong understanding of IT infrastructure, networking, cybersecurity, and cloud services.
• Excellent communication, negotiation, and interpersonal skills.
• Ability to manage multiple accounts and projects simultaneously.
• Proficiency in using CRM software and MS Office Suite.
• A proactive and client-focused approach to account management.
• Strong problem-solving skills and attention to detail.

What My Client Offers:

• Competitive salary and benefits package.
• Opportunities for professional growth and development.
• A collaborative and supportive work environment.
• The chance to work with cutting-edge technology and innovative solutions.

Application Process: To apply for this position, please submit your CV and a cover letter outlining your relevant experience and why you are the ideal candidate for this role.

• You will be developing robust data models within your domain, observing best practices and frameworks to improve data discoverability, accessibility, manipulation, and reporting.
• Serving as a data steward and owner of a decentralized data network, ensuring top-tier governance and maintaining comprehensive documentation across your domain's lineage.
• Partnering closely with the data engineering and ETL teams to translate technical requirements into non-technical outcomes and vice versa.
• Ensure consistent reporting by aligning stakeholders on definitions of metrics and dimensions within your domain.
• Drive the success of their self-service program by educating non-technical stakeholders on the usage of our tools.
• Design creative solutions and suggest new tools and methods to reduce friction in the data flow process, reflecting the needs of your domain.

• Looking for someone who is proficient at explaining complicated processes, requirements, and data pipelines to both technical and non-technical stakeholders, and then presenting this to various levels of stakeholder's seniority.
• Demonstrated experience in designing processes, frameworks, and best practices for junior teams to drive standardization and uniformity in data manipulation, documentation, and orchestration.
• Vast experience with multiple data visualization and transformation tools, including preference for DBT, Airflow, Fivetran, and Tableau/PowerBI/Looker. Certified or expert in dbt and its standards.
• Experience with QAing data pipelines using tools like Monte Carlo or similar.
• Proficient in documentation using Jira, Confluence, or similar platforms.
• Expert in SQL and Python, with the ability to upskill teams on best practices.
• Skilled in manipulating large datasets, combining data from multiple sources to achieve desired results.
• Working knowledge of design thinking and agile methodologies.

• Data Migration: Lead seamless migration and bulk import of data from various sources into AI governance tooling.
• Platform integration: Ensure the integration of AI Governance tools within the clients data, AI and IT Ecosystem, including platforms like SharePoint, Excel, AWS, Google Vertex, ect.
• Automation and Data Population: Implement automation features to auto-populate fields and minimise manual efforts and errors.
• Real-Time Data Harvesting: Develop mechanisms for real-time data extraction from various platforms into AI governance tooling.
• AI Model Tracking: Design and implement features to track and record the usage of external AI models in the AI catalogue.
• System Integration: Work with the AI Governance team to ensure the AI Catalogue integrates seamlessly with governance tooling, development environments, and portals.
• Quality Assurance and Testing: Design and conduct quality assurance protocols, end-to-end system testing, and User Acceptance Testing (UAT) to ensure the reliability and functionality of AI Catalogue integrations.

• Experience: 7+ years of hands-on technical experience in AI and IT ecosystem integrations.
• Technical Knowledge: Strong technical knowledge of AI development platforms, model registries, MLOps tooling, and compliance SaaS.
• Tools: Proficiency with tools such as SharePoint, Excel, CMDB, and various AI platforms mentioned above.

• Generative AI: Experience with generative AI and foundation model platforms.
• AI Governance: Knowledge of AI governance and responsible AI practices.
• Industry Experience: Pharmaceutical and life sciences experience.
• Implementation: Experience implementing AI governance and compliance tooling for complex enterprises.