Data Associate Partner

What we offer

• Collaborate with C-level executives to drive transformational changes in their business.
• Lead, mentor, and manage a high-performing team to deliver innovative data engineering solutions.
• Spearhead business development initiatives by identifying opportunities to grow client relationships.
• Work in multidisciplinary teams and learn from motivated colleagues.
• Play a pivotal role in defining and executing data strategies for our clients.
• Become part of a dynamic, international team, where you can fast-track your career and lead projects that deliver tangible business results.

• Act as trusted advisor to board-level stakeholders; co-create enterprise-wide data & AI roadmaps, operating models and investment cases.
• Shape and execute annual practice plan—investment, hiring plan, capability build, M&A or venturing plays, ensuring a healthy team pyramid and team members’ career progress and happiness
• Sponsor development of proprietary accelerators, GenAI offerings, and industry solutions
• Oversight across the entire UK data portfolio and team
• Translate business problems to analytics solutions with clear output. Translate analytical output to drive business decisions that create impact.
• Oversee project delivery required to meet client expectations.
• Responsibilities include overall project delivery quality, development of presentations, and management of external relationships.
• Function as a sounding board for data and analytics-related questions of client business leadership.
• Seek compelling opportunities beyond the scope of the current project and show a strong entrepreneurial mindset.
• Guide more junior members of the team, while orchestrating the work of the entire team. Drive team growth and development for the members of the team.
• Foster and grow the data team’s skillsets, culture and ways of working.
• Provide technical oversight of analytical approaches, code and model reviews, MLOps standards, data governance compliance, and help to unblock complex challenges
• Be able to technically manage projects
• Lead on proposals and RfP responses
• Lead global data initiatives and communities of practice
• Building a £3m pipeline of Data practice work by leading on commercial efforts, leveraging networks, and support existing relationships and expanding client engagements.

• Master's (or Ph.D.) degree in a quantitative field with a focus on data analysis (e.g. computer science, econometrics, AI, engineering, mathematics, physics, and other exact sciences).
• 10+ years of consulting experience or relevant industry experience, with at least 3+ years at a senior leadership level and a strong network in the UK market.
• Sharp thinking ability to be able to differentiate major contributors from irrelevant details quickly, and to structure information residing in the data under analysis hierarchically.
• Robust knowledge of statistical concepts, accompanied by expertise with a set of analytical tools ranging from databases (e.g. SQL, Big Query, noSQL) to programming languages (e.g. R, Python, Spark), and from data visualisation (e.g. Power
  
  BI, Tableau) to machine learning.
• Deep expertise in advanced analytics, data science and traditional analytics.
• High-level understanding of data engineering and data strategy.
• Strong understanding of at least one cloud stack (e.g., Azure, AWS, GC)
• Proven ability to manage and deliver projects with expert team members and to provide inspiring guidance to juniors in the team.
• Excellent communication skills, especially to explain complex analytical concepts in non-technical terms to business users.
• High proficiency in MS Office, particularly PowerPoint and Excel
• Experience in Retail and consumer goods is highly advantageous.
• Experience integrating GenAI / LLM solutions into enterprise workflows.
• Experience in consulting (including internal consultancies) is highly advantageous.
• Professional fluency in English required.

• Firm: Metyis
• Location: London
• Education: Postgraduate degree

• Director

• Full-time

• Information Technology

• Business Consulting and Services