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
