DATA & AI CONSULTANT

United Kingdom Type Contract Data & Ai Strategy Consultant (Data Architect) needed - Inside IR35 - Hybrid working London office - Initial 3-6 months - Proven experience in developing and implementing data strategies for diverse industries.
- Strong understanding of data governance, data privacy regulations, and data security best practices.
- Expertise in data analysis, business intelligence tools (e.
., Power BI, Tableau), and analytics platforms.
- Solid understanding of data modeling, database management, and ETL processes.
- Familiarity with cloud platforms (e.
., AWS, Azure, Google Cloud) and big data technologies.
- Strong problem-solving skills and ability to translate complex data concepts into actionable insights.
Excellent communication, presentation, and stakeholder management skills.
Global travel to various customer locations and to support various customer engagements and relationships.
Data Strategy Development.
Collaborate with senior leadership and stakeholders to understand business goals, challenges, and opportunities.
Develop data strategies that align with business priorities, ensuring the effective use of data assets across the organization.
Devise strategies for how the organisation can collect, store, manage, and utilize data effectively and prepare it for business consumption.
This includes identifying key business objectives and determining how data can support those objectives.
Define key performance indicators (KPIs) and data requirements to support business objectives.
Data Governance & Management.
Establish best practices, policies and procedures for ensuring the quality, security, and integrity of data across the organization.
Guide the implementation of data governance frameworks to ensure compliance, security, and accessibility.
This may involve overseeing compliance with regulations such as GDPR and all other prevalent regulations.
Assist in building data management processes and data architectures that support scalability and efficiency.
Technology Evaluation and Implementation.
Assess various data management technologies and tools to determine which ones best suit the organization's needs.
They may also oversee the implementation of these technologies and ensure they integrate seamlessly with existing systems.
Provide recommendations for business intelligence tools, dashboards, and reporting solutions to drive data-driven decision-making.
Evaluate existing analytics practices and propose solutions for optimizing data analysis and reporting.
The person has to be conversant with technologies like Snowflake, AWS, Tableau, Erwin, Kafka and Striims and should be very well aware of their responsibilities.
Data Transformation & Optimization.
Lead clients in transforming their data infrastructure to support advanced analytics, AI, and machine learning initiatives.
Recommend ways to optimize data storage, integration, and access to enhance performance and reduce costs.
Assist clients in migrating from legacy systems to modern, cloud-based data platforms.
Collaboration and Communication.
Collaborate with cross-functional teams including IT, marketing, finance, and operations to understand their data needs and align data strategies with overall business objectives.
Effective communication skills are crucial for presenting findings and recommendations to stakeholders at all levels of the organization.
Lead workshops, training sessions, and presentations to promote data literacy and encourage a data-driven culture.
Serve as a trusted advisor to executives and business leaders on data-driven initiatives.