Data Practice Lead

Job description

At Scott Logic we have a reputation for World Class software engineering. We are trusted by some of the world’s leading organisations to build state of the art, scalable and critical IT solutions. As well as building leading software solutions, our customer engagements include designing and building business critical data solutions. Our Data Architects and Data Engineers work with customers across their entire data journey from strategy through to build and maintain. The volume of data work is now at a point where we need to establish a standalone Data Practice. We are looking for an experienced Data leader to join our team and help shape our practice and continue to grow it, taking it to the next level. As Data Practice lead, you will be responsible for driving the strategy, growth and delivery of our data-related services. We are looking for someone with a positive, can-do attitude, growth mindset, natural curiosity and a bias for action. We want you to be an integral part of our growth journey. ### Responsibilities include - **Commercially Minded**: Have an entrepreneurial and innovative mindset. Always looking at how we can help customers and, at the same time, grow our business. - **Strategy and Vision**: Define the vision and roadmap for Scott Logic’s data practice, including developing our service offerings (e.g. data platform design, data governance, advanced analytics, etc.). - **Pre-sales Support**: Work with our sales and customer teams to understand customer needs, define engagements and proposals and ultimately help win new work. - **Leadership**: Leading and building a team of data specialists, establishing best practices and driving a culture of innovation. - **Customer Engagements**: Act a strategic advisor to customers. Helping them shape data solutions, develop strategies and roadmaps and ultimately deliver value. - **IP & Frameworks**: Develop internal playbooks and repeatable methods and work with colleagues to build accelerators ### Experience that would help - **Data Consulting**: 5+ years of experience in data consulting or a related data role (e.g. Data Science or User Focused Data Engineering). - **Worked in a data consultancy**: 2+ years of experience in a company with strong data consulting services. - **End to end delivery**: Experience driving the full data lifecycle, from strategy and design to leading software and data teams through scale out and delivery. - **Data Experience**: Deep knowledge and experience in areas such as Data Strategy, Data Platform, Data Engineering (ETL, Data Warehouse), Traditional Data Science (AI/ML), Data Governance and Cloud Technologies (Azure, GCP or AWS) **Nice to have experience would include** - **Experience of Databricks**: Experience of designing and building Databricks solutions. - **Human-Centred Design**: Expertise in creating intuitive "human-in-the-loop" experiences and data interfaces that use natural language.