Position Purpose
The I&T Collaboration Platform Manager is an established technical leader that specialises in the management, operation, and optimisation of MS Teams and Unified Comms, based predominantly around the MS Teams and Nice contact centre solutions. This includes the management of underlying platforms and services which underpin our Collaboration Services that are delivered to the rest of the Brambles business.
Reporting to the Senior BRM Employee Experience Platforms, this role will deputise for operational leadership when required and participate in planning for the team and how it aligns to both the I&T Collaboration Services and Architecture that the End-User platform team provides.
Measures
The Key Performance Indicators for this role are driven by:
Proactive and effective running of the MS Teams and Nice Unified Communications platforms
Meet or exceed targets for capability optimisation
Positive impact on end user satisfaction
Major/Key Accountabilities
Operations: Successful running of the I&T Collaboration Platform
Governance and Compliance: Ensuring that all services underpinned by the I&T Collaboration Platform are correctly governed and are compliant, liaising with the compliance, legal and risk internal teams.
Capability Planning: Developing the capability roadmap for the I&T Collaboration Platform
Change Management: Driving the change and adoption strategy, managing any third parties that we may choose to engage in delivery,
Optimisation: Driving optimisation outcomes for the I&T Collaboration Platform
Vendor Management: Effective management of 3rd party vendors who supply Generative AI related tooling.
Stakeholder Management: Managing relationships with wider technology professionals
Collaboration and Communication: Influencing the evolution Generative AI based digital services through close working and a continuous improvement mindset.
Innovation: Continuously exploring new features and updates and related technologies to enhance the platforms capabilities and drive innovation within the organization including the management of technical roadmaps.
Experience:
- 5yr relevant experience in Cloud Engineering or adjacent fields
Installed, operated, and managed several data science and machine learning frameworks, or
developed own data science methodologies
Experience with Continuous Integration and Continuous Deployment
Experience operating, optimising, querying, and administering databases (such as Postgres,
TimescaleDB, etc.)
Comfortable using and working in a polyglot computer language environment (Python, Go, Julia etc.)
Experience with Amazon Web Services (S3, EKS, ECR, EMR, etc.)
Experience with containers and orchestration (e.g. Docker, Kubernetes)
Experience with Big Data processing technologies (Spark, Hadoop, Flink etc)
Experience with interactive notebooks (e.g. JupyterHub, Databricks)
Experience with Git Ops style automation
Experience with *ix (e.g, Linux, BSD, etc.) tooling and scripting
Participated in projects that are based on data science methodologies, and/or physical experiments,
or statistical analysis especially in a data engineer and dev ops capacity.
Challenges/Problem Solving :
Data Security and Privacy: Ensuring that sensitive data is protected, and that the platform complies with data privacy regulations can be complex. This includes managing access controls and preventing data breaches.
Content Management and Data Governance: Effectively managing the vast amount of data and content generated by the platform can be challenging. This involves setting up proper data governance frameworks and ensuring data quality.
Ethical Usage: Ensuring that the platform is used ethically and responsibly is crucial. This includes avoiding biases in AI outputs and ensuring that the platforms use aligns with organisational values and ethical standards.
Infrastructure Requirements: Maintaining the necessary infrastructure to support the platform s operations can be demanding. This includes ensuring that the platform has sufficient computational resources and that it integrates seamlessly with existing systems.
Employee Training and Adoption: Training employees to effectively use the platform and driving adoption across the organisation can be challenging. This involves creating comprehensive training programs and addressing any resistance to change.
Cost Management: Managing the costs associated with deploying and maintaining the platform can be a significant challenge. This includes budgeting for infrastructure, training, and ongoing support.
Performance Optimization: Continuously monitoring and optimising the performance of the platform to ensure it meets the organisations needs can be complex. This involves analysing usage patterns and making necessary adjustments.
Essential Qualifications
Essential Qualifications
Degree in Computer Science
Program and/or Project Management Certification
Modules, certifications or badges relating to the design and implementation of the platform.
Experience :
Significant previous experience implementing Generative AI technology, as a technical leader
5+ years experience managing or influencing technical staff and projects.
Proven success in improving the quality and effectiveness of services.
Experience working within a matrix structure for a global organisation.
Skills & Knowledge :
Microsoft 365 and Azure: Understanding the Microsoft 365 ecosystem, including applications like Teams, SharePoint, and OneDrive, as well as Azure services for cloud computing and data management.
AI and Machine Learning: Familiarity with AI concepts, machine learning models, and natural language processing (NLP) to understand how the platform leverages these technologies
Data Management: Knowledge of data governance, data privacy, and compliance standards to ensure secure and compliant use of data within the platform.
Power Platform: Experience with Microsoft Power Platform, including Power BI, Power Apps, and Power Automate, to integrate and extend the platform s functionalities.
Remote Type
Hybrid Remote
Skills to succeed in the role
Active Learning, Adaptability, Cross-Functional Work, Curiosity, Digital Literacy, Emotional Intelligence, Empathy, Initiative, Problem Solving
