Senior Data & AI Strategy Partner

Who we are

Metyis is a global and forward-thinking firm operating across a wide range of industries, developing and delivering Big Data, Digital Commerce, Marketing & Design solutions and Advisory services. At Metyis, our long-term partnership model brings long-lasting impact and growth to our business partners and clients through extensive execution capabilities.

With our team, you can experience a collaborative environment with highly skilled multidisciplinary experts, where everyone has room to build bigger and bolder ideas. Being part of Metyis means you can speak your mind and be creative with your knowledge. Imagine the things you can achieve with a team that encourages you to be the best version of yourself.

We are Metyis. Partners for Impact.

• 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., PowerBI, 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…