Experienced Partner - Consultancy Data Practice Leader - #1672017

A leading consultancy firm committed to delivering innovative solutions and exceptional service to clients. They empower organizations to maximize their data potential, driving informed decision-making and fostering a data-driven culture.

They are seeking a dynamic and experienced Partner for their Data Practice Leader to oversee their data consultancy practice. This role requires a strategic thinker with a deep understanding of data analytics, business intelligence, and data governance. The successful candidate will be responsible for leading their data strategy, developing client relationships, and delivering impactful projects that leverage data to drive business value.

Responsibilities

• Lead and manage the Data Practice, shaping its strategic direction and growth.


• Develop and implement data strategies for clients, ensuring alignment with their business objectives.


• Oversee the delivery of data projects, ensuring high-quality service and outcomes.


• Build strong relationships with clients to understand their needs and foster long-term partnerships.


• Guide and mentor a team of data professionals, fostering a culture of collaboration and continuous learning.


• Stay current with industry trends, technologies, and best practices in data analytics and governance.


• Collaborate with other practice leaders to integrate data services into the broader consultancy offerings.


• Drive thought leadership through whitepapers, presentations, and participation in industry forums.

Qualifications

• Proven experience in a leadership role within a data consultancy.


• Consulting background with client facing experience.


• Strong understanding of data analytics, data management, data science, and data governance.

• 
  Cloud Computing: AWS, Azure, Google Cloud for scalable data solutions.


• 
  API Strategy: Robust APIs for seamless data integration.


• 
  Data Architecture: Finbourne LUSID, Hadoop, Spark, Snowflake for managing large volumes of investment data.


• 
  Cybersecurity: Strong data security measures, including encryption and IAM.


• 
  AI and Machine Learning: Predictive analytics, risk management, and personalized investment strategies.


• 
  Data Governance: Frameworks to ensure data quality, integrity, and compliance.


• 
  Data Applications: Supporting investment management processes like portfolio analysis and risk management.

• Excellent project management skills with a track record of successful project delivery.


• Exceptional communication and interpersonal skills, with the ability to influence and engage stakeholders at all levels.


• Relevant educational background (degree in Data Science, Computer Science, Business Analytics, or similar).

Benefits

• £200k+


• Opportunities for professional development and continuous learning.


• A collaborative and inclusive work environment that values diversity.