Data Associate Partner

Metyis; City Of London; On-site; GBP 150,000 - 200,000; Full time

Job summary

A leading data solutions company in the UK is seeking an experienced senior leader to collaborate with executives and manage a high-performing team. The role involves driving data strategies, overseeing project deliveries, and advising stakeholders. The ideal candidate will have a Master's or Ph.D. in a quantitative field, extensive consulting experience, and strong leadership skills.

Qualifications

• 3+ years of consulting experience or relevant industry experience at a senior leadership level.
• Deep expertise in advanced analytics and data science.
• Experience in Retail and consumer goods is highly advantageous.

Responsibilities

• Collaborate with C-level executives to drive transformational changes.
• Lead a high-performing team to deliver innovative data engineering solutions.
• Act as trusted advisor to board-level stakeholders.

Skills

Data analysis

Statistical concepts

Project management

Technical communication

Team leadership

Data strategy

Programming languages

Cloud stack understanding

Networking

Education

Master's or Ph.D. in a quantitative field

Tools

SQL

Python

PowerBI

R

Tableau

Job description

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.

What you will do

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.

What you will bring

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).

• 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, BigQuery, 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 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.