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

1. Gather and collect data from various sources, ensuring its accuracy and completeness.
2. Clean and preprocess data to remove errors, inconsistencies, and missing values.
3. Perform exploratory data analysis to identify patterns, trends, and insights within the data.
4. Utilize statistical methods and data visualization techniques to present findings effectively.
5. Create charts, graphs, and dashboards using tools like Tableau, Power BI, or similar, to visually represent data insights.
6. Provide actionable insights and recommendations to support business strategies and decision-making.
7. Work with stakeholders to define business problems and questions that can be addressed with data.
8. Provide data-driven support for decision-making processes and strategic planning.
9. Ensure data quality and integrity by monitoring and validating data sources and processes.
10. Implement quality assurance measures to maintain data accuracy and reliability.

1. Designing, developing, and implementing machine learning models and AI algorithms.
2. Applying statistical analysis and data mining techniques to extract insights from large datasets.
3. Utilizing programming languages such as Python, R, and frameworks like TensorFlow and PyTorch.
4. Managing and processing large datasets, ensuring data quality and integrity.
5. Using data visualization tools to interpret and communicate complex data findings.
6. Implementing data preprocessing techniques to prepare data for modeling.

1. Conduct thorough risk assessments to identify vulnerabilities and threats to the organization’s IT systems.
2. Analyze potential threats and develop strategies to mitigate them.
3. Implement security controls and measures such as firewalls, intrusion detection systems, and encryption technologies to protect data and systems.
4. Manage user access controls, ensuring that only authorized personnel have access to sensitive information.
5. Respond to security incidents, including the identification, containment, and eradication of threats.
6. Conduct digital forensics to investigate security breaches and gather evidence.
7. Monitoring violations of security policies
8. Ensuring compliance with relevant legislation
9. Monitoring and analyzing relevant logs, alerts and events
10. Responding to incidents submitted via tickets or phone
11. Implementing standard security operating procedures
12. Maintaining security records and documentation
13. Administering cryptographic and certificate management activities.

1. Design secure IT architectures and frameworks that meet the organization's security requirements. This includes defining security protocols, policies, and standards.
2. Ensure that security measures are integrated into all phases of the system development lifecycle, from initial design to deployment and maintenance.
3. Conduct threat modeling to identify potential security threats and vulnerabilities in the system architecture.
4. Perform risk assessments to evaluate the impact of security threats and recommend mitigation strategies.
5. Implement and manage security technologies such as firewalls, intrusion detection systems, encryption, and identity management systems.
6. Design and implement access control mechanisms to ensure that only authorized users have access to sensitive information.
7. Ensure that security architectures comply with relevant regulations and industry standards such as GDPR, HIPAA, and PCI-DSS.
8. Oversee the implementation of security monitoring tools and processes to detect and respond to security incidents.

1. Providing advice and guidance on the implementation of security controls
2. Serving as POC for security incidents
3. Leading incident response efforts & analyzing incident reports
4. Overseeing SOC activities
5. Routine vulnerability assessments
6. Monitoring violations of security policies
7. Ensuring compliance with relevant legislation
8. Reporting to the CISO about security operations
9. Establishing SOC performance goals and priorities
10. Implementing standard security operating procedures
11. Maintaining security records and documentation
12. Developing and implementing security policies.

1. Design, deploy, and maintain security infrastructure such as firewalls, intrusion detection systems, and encryption protocols.
2. Implement security measures to protect networks, systems, and data from cyber threats.
3. Conduct regular vulnerability assessments to identify weaknesses in systems and networks.
4. Perform penetration testing to simulate cyber attacks and assess the effectiveness of security defenses.
5. Develop and implement incident response plans to effectively respond to security incidents.
6. Conduct digital forensics investigations to determine the root cause of security breaches and mitigate future risks.
   7.Implement security policies, standards, and procedures to ensure compliance with regulatory requirements and industry best practices.
7. Enforce security policies and monitor compliance through audits and assessments.
8. Provide security awareness training to employees and stakeholders to educate them about security risks and best practices.
9. Foster a culture of security awareness and accountability throughout the
   organization.

1. Designing and implementing security protocols, policies, and procedures to protect against potential threats.
2. Developing contingency plans and disaster recovery strategies to handle potential breaches.
3. Performing risk assessments to identify security weaknesses and suggesting appropriate countermeasures.
4. Continuously monitoring and evaluating the effectiveness of security measures in place.
5. Leading the response to security incidents, including coordination of the incident response team.
6. Investigating security breaches and developing reports detailing the incident, impact, and corrective actions.
7. Iterating and reviewing strategic plans
8. Developing plans to drive forward and execute strategy
9. Working with stakeholders to communicate and embed strategic management via objectives, accountabilities and progress monitoring 10.Develop security policies, standards, and procedures to ensure compliance with regulatory requirements and industry best practices.