A global Large Cap Private Equity fund who invest in exciting industries such as sport, SaaS, and disruptive tech, is seeking an Interim Data/Solutions Architect to join their team, supporting the Chief Data Officer. With over £100 billion in assets, this is a rare and exciting opportunity to work internally for an international Private Equity fund, with the potential for global travel with expenses paid, leveraging data to drive value creation, and delivering insights to senior management. Individuals that thrive in a collaborative environment and have a passion for leveraging data-driven insights to inform strategic decisions will enjoy this position.
Responsibilities
Opportunity & Solution Identification
Collaborate cross-functionally to comprehend current processes and data landscapes.
Collaborate with the Chief Data Officer and Senior Business Analyst to align on strategic vision, opportunities, and goals.
Identify opportunities for "standardisation and industrialisation" via data and technology.
Recommend technological solutions to address identified opportunities and challenges.
Provide expertise on the technical feasibility and implications of proposed solutions.
Data Mapping & Ownership
Develop a comprehensive data map outlining data sets, their relationships, ownership, and other relevant metadata.
Identify gaps or inconsistencies in data ownership and propose strategies to address them.
Solution Design & Recommendations
Translate business requirements and challenges into actionable technical solutions, ensuring alignment between business and technical teams.
Design technical architectures and solutions aligned with business needs and technological trends.
Data Governance & Best Practices
Advocate for data governance best practices across the organisation.
Provide guidance on data management, quality, and security to ensure organisational compliance and optimal data usage.
Requirements
Proven experience as a Data/Solutions Architect, experience in strategy-focused roles is preferable.
Comprehensive understanding of data landscapes, technologies, and business process optimisation.
Strong analytical, problem-solving, and technical design skills.
Collaborate effectively with both technical and non-technical stakeholders.
Proficiency in current data architecture principles, practices, and tools.
Effective communication skills, with the ability to articulate complex technical concepts in a clear manner.
Bachelor's degree from a Russell Group university or equivalent, with a STEM background preferable.
