Data & AI Director – Global Data Consultancy

Omnis Partners is delighted to be partnered with a disruptive, cutting-edge, global data consultancy, hiring for a highly commercial and strategic Data & AI Director.

You will spearhead the design, shaping and delivery of innovative data solutions for a wide variety of clients. This individual will play a pivotal role in seamlessly aligning technical solutions with business objectives, ensuring clients realise maximum value from a range of data products and solutions.

Key Responsibilities:
Solution Design & Delivery

• Collaborate with clients to understand their business challenges, objectives, and data needs.
• Design end-to-end data solutions, from discovery to deployment, tailored to client goals.
• Oversee technical delivery teams in delivering solutions that deliver maximum commercial impact and value return for the client.

Client Engagement & Strategy

• Contribute towards pitches, develop future pipeline and proposition growth and deliver to revenue targets.
• Act as the primary point of contact for clients during project lifecycles, ensuring clarity and alignment on deliverables from a practical and commercial perspective.
• Provide thought leadership and guidance to clients on data-driven strategies and emerging trends.
• Translate technical concepts into commercially orientated, business-focused insights and solutions, facilitating informed decision-making for stakeholders.

Leadership & Collaboration

• Oversee multidisciplinary teams, including Data Architects, Developers, Data Scientists, Engineers, and Analysts, ensuring alignment with project timelines and client objectives.
• Foster a collaborative and innovative team culture, mentoring junior team members and encouraging professional development.
• Partner with sales and business development teams to identify opportunities for upselling and expanding client engagements.

Technical Expertise

• Oversee the design and implementation of scalable data pipelines, machine learning models, and advanced analytics platforms.
• Stay abreast of industry trends, tools, and technologies to ensure solutions remain cutting-edge and competitive.
• Ensure adherence to best practices in data security, privacy, ethics, and governance.

Experience Required:

• Educated to degree level in Data Science, Machine Learning, Physics, Chemistry, Engineering, Economics, Computer Science, Mathematics, Statistics, or a related field.
• Extensive experience in data science, analytics and AI with significant leadership capabilities.
• Proven track record of successfully delivering complex data projects, with demonstrable problem-solving skills, and a focus on delivering practical, commercially impactful solutions.
• Strong commercial track record, ideally formal pre-sales experience in a consulting environment.
• Strong understanding of a range of technical programming languages and experience in machine learning frameworks, including architectural design and data platforms.
• Knowledge of cloud platforms and data engineering tools.
• Exceptional communication skills, with the ability to influence technical and non-technical stakeholders alike.

Strongly Preferred

• Familiarity with domain-specific data challenges in areas such as supply chain, B2C, operational efficiency or risk.
• Knowledge of Agile methodologies and project management tools