1. Implement IT service management processes and best practices.
2. Identify opportunities for service improvement and implement changes.
3. Monitor IT service performance to ensure it meets established standards.
4. Generate reports on service performance and provide recommendations for improvement.

1. Develop and implement IT service management strategies that align with organizational goals.
2. Continuously improve IT service management processes to enhance service quality.
3. Lead and manage the IT service management team, ensuring effective service delivery.
4. Monitor key performance indicators (KPIs) to assess the effectiveness of IT services.
5. Generate and present reports on IT service performance to senior management.

1. Configure and maintain servers, networks, and other IT infrastructure components.
2. Manage user accounts, permissions, and access controls.
3. Implement security measures to protect IT systems and data.
4. Perform regular backups and develop recovery plans to ensure data integrity.
5. Provide technical support to users and troubleshoot system-related issues.
6. Respond to system outages and performance issues.

1. Monitoring network performance
2. Investigating and resolving problems
3. Devising work-arounds and correcting faults
4. Making general or site-specific modifications
5. Operational configuration of network components
6. Testing networks, both routinely and after modification or fault/fix
7. Adhering to established safety, security and quality standards
8. Providing information, advice or training to users about networks functionality.

1. Continuously monitor IT systems to ensure they are functioning correctly and efficiently.
2. Perform routine maintenance tasks such as backups, updates, and patches.
3. Respond to IT incidents, troubleshoot issues, and restore normal operations.
4. Identify root causes of recurring issues and develop solutions to prevent them.
5. Optimize system performance through tuning and configuration adjustments.
6. Plan and manage system capacity to meet current and future demand.

1. Deploy and configure cloud infrastructure components such as virtual machines, storage, and networking.
2. Monitor cloud environments to ensure optimal performance and availability, and perform regular maintenance tasks.
3. Implement and manage security controls to protect cloud resources, including firewalls, identity management, and encryption.
4. Ensure that cloud infrastructure complies with relevant regulations and organizational policies.
5. Optimize cloud resource usage to improve efficiency and reduce costs.
6. provide technical support to users and troubleshoot cloud-related issues.
7. Respond to and resolve incidents impacting cloud services.
8. Setup cloud systems, oversee cloud-based infrastructure, platforms, and software, and monitor the modification

1. Translating business strategies and objectives into an operating model
2. Assessing current capabilities and identifying required changes in capabilities to achieve objectives
3. Describing the interrelationships between people, organization, service, process, data, information, technology and the external environment
4. Creating, iterating, and maintaining architectural models and views embodying the key principles that describe the organization's future state, and that enable its evolution
   implementing enterprise architecture working practices to support and enable iterative/agile working
5. Interpreting business goals and drivers
6. Documenting and communicating constraints, standards and guiding principles necessary to define, assure and govern the required evolution
7. Using architectural models and processes to facilitate changes in the organization's structure, business processes, information or data, business systems and infrastructure
8. Describing where and why the enterprise will benefit from cloud-based
   services.

1. Alignment of investment with specific business strategies and objectives
2. A strategic investment appraisal and decision-making process
3. Assessment of cost, risk, inter-dependencies, and impact on existing business activities
4. Identifying issues with portfolio structure, cost, risk, inter-dependencies, impact on current business activities and the strategic benefits to be realized
5. Implementing portfolio management practices that support iterative/agile working
   measurement and objective evaluation of potential changes and the benefits to be realized
6. Prioritization of resource utilization and changes to be implemented
7. Regular review of portfolios
8. Management of the service pipeline (proposed or in development), service catalogue (live or available for deployment) and retired services.

1. Collaborate with business leaders to develop comprehensive digital strategies that align with organizational goals.
2. Conduct market research and analysis to identify digital trends, emerging technologies, and competitive landscapes.
3. Design and implement digital transformation roadmaps, outlining key initiatives, timelines, and resource requirements.
4. Promote a culture of innovation and guide organizations through the change management process associated with digital transformation.
5. Assess current IT infrastructure and recommend digital technologies and solutions that enhance business processes and outcomes.
6. Oversee the deployment of digital solutions, ensuring they are integrated seamlessly with existing systems and processes.
7. Produce detailed reports, presentations, and documentation to communicate digital strategies, progress, and outcomes to stakeholders.
8. Monitor and evaluate the performance of digital solutions, making
   recommendations for continuous improvement.

1. Diagnose and resolve hardware, software, and network issues for end-users, ensuring minimal disruption to their work.
2. Manage help desk tickets, prioritize and address user queries and issues effectively.
3. Monitor IT systems and infrastructure to ensure optimal performance and availability.
4. Perform regular maintenance tasks such as updates, patches, and backups to keep systems secure and up-to-date.
5. Provide technical assistance and guidance to users, helping them understand and use IT systems and software efficiently.
6. Create and maintain detailed documentation of IT systems, configurations, and procedures for reference and training purposes.
7. Liaise with external vendors and service providers to resolve technical problems and ensure high-quality service delivery.

1.Integrating methods from mathematics, statistics and probability modelling using specialized programming languages, tools and techniques

2. Sourcing and preparing data for analysis
3. Identifying, validating and exploiting internal and external data sets generated from a diverse range of processes
4. Developing forward-looking, predictive, real-time, model-based insights to create value and drive effective decision-making
5. Finding, selecting, acquiring and ingesting data sources,
6. Integrating and cleaning data to make it fit for purpose
7. Developing hypotheses and exploring data using models and analytics sandboxes
8. Refining requirements, validating, training and evolving models over time to discover deeper insights, make predictions, or generate recommendations.
9. Using advanced analytic techniques including — but not limited to — data/text mining, machine learning, pattern matching, forecasting, visualization, semantic analysis, sentiment analysis, network and cluster analysis, multivariate statistics, graph analysis, simulation, complex event processing, neural networks.

1. Develop and implement data validation processes to ensure the accuracy and consistency of data.
2. Identify and rectify data quality issues such as duplicates, missing values, and inconsistencies.
3. Define and monitor data quality metrics to measure the health of the organization's data.
4. Perform data profiling to understand data patterns and detect anomalies.
5. Identify areas for improvement in data quality processes and implement enhancements.
6. Evaluate and implement data quality tools and technologies to automate and enhance data quality processes.
7. Ensure data quality tools integrate seamlessly with existing data management systems.

1. Develop data models that outline how data is stored, processed, and accessed across various systems.
2. Create and maintain a data architecture blueprint that aligns with the organization's strategic goals and business requirements.
3. Establish and enforce data governance policies to ensure data quality, consistency, and security.
4. Design and implement data integration processes to combine data from different sources into a unified view.
5. Design and oversee the implementation of databases, data warehouses, and data lakes to support business operations and analytics.
6. Ensure optimal performance of data systems through indexing, partitioning, and other optimization techniques.
7. Evaluate and recommend data management tools and technologies that meet organizational needs.
8. Work closely with business stakeholders, data scientists, and IT teams to understand data requirements and provide appropriate solutions.
9. Document data architecture designs, standards, and guidelines for reference by other teams and stakeholders.
10. Implement security measures to protect data from unauthorized access and breaches.
11. Ensure that data architecture complies with relevant regulations and
    industry standards such as GDPR, HIPAA, and CCPA.

1. Identifying data sources, data processing concepts and methods
2. Evaluating, designing and implementing on-premise, cloud-based and hybrid data engineering solutions
3. Structuring and storing data for uses including — but not limited to — analytics, machine learning, data mining, sharing with applications and organizations
4. Harvesting structured and unstructured data
5. Integrating, consolidating and cleansing data
6. Migrating and converting data
7. Applying ethical principles in handling data
8. Ensuring appropriate storage of data in line with relevant legislation
9. Building in security, compliance, scalability, efficiency, reliability, fidelity, flexibility and portability.

1. Understanding business needs and objectives
2. Identifying and validating internal and external data sets generated from a diverse range of business and operational processes
3. Transforming the results of analysis into information that can be communicated to stakeholders using dashboards and reports
4. Interpreting and analyzing data, comparative analysis, benchmarking, trend analysis
5. Bringing data together to communicate clear themes and trends
6. Focusing on data quality to provide confidence for making decisions on a single version of the truth.
7. Research and analyzing customers' behaviors and desires to enhance their experience
8. Create new processes to improve customer experience, streamline employee production and address any suggestions
9. Solve design problems that hinder user and employee experiences