Data & AI Consultant Defence

About Methods Analytics:

Methods Analytics exists to improve society by helping people make better decisions with data. Combining passionate people, sector-specific insight and technical excellence to provide our customers an end-to-end data service. We use a collaborative, creative and user centric approach data to do good and solve difficult problems. We ensure that our outputs are transparent, robust and transformative.

We value discussion and debate as part of our approach. We will question assumptions, ambition and process – but do so with respect and humility. We relish difficult problems, and overcome them with innovation, creativity and technical freedom to help us design optimum solutions. Ethics, privacy and quality are at the heart of our work and we will not sacrifice these for outcomes.

We treat data with respect and use it only for the right purpose. Our people are positive, dedicated and relentless. Data is a vast topic, but we strive for interactions that are engaging, informative and fun in equal measure.

Methods Analytics was acquired by the Alten Group in early 2022.

Purpose of the Role:

As a Data & AI Consultant, you will work within our skilled Data & AI Consulting Practice. The team act as strategic advisors supporting clients on their journey to derive business value from Data & AI.

You will be innovative, outcome driven, and passionate about enabling enterprise-wide improvement in the use of Data & AI. Able to operate at a senior level and experienced in identifying, developing, and deploying AI to solve business problems and bring the value to organisations.

You will work closely with clients acting as a trusted advisor, combining business consulting experience with Data & AI expertise to help clients innovate and become data-led and AI-assisted.

Key Tasks:

· Responsible primarily for client delivery with contribution to business development and collaboration within the Data & AI Practice and Front Line Command, UK Industry and Special Projects Business Unit.

· Leading the delivery and supporting the growth of client engagements, supported by a multi-disciplinary team of Consultants from across our practices of Business Analysis, Delivery Management, Engineering, Architecture and Data Science.

· Collaborating with clients to understand their business processes and objectives, identifying high-value Data & AI use cases, providing guidance and recommendations on solutions, and advising stakeholders on data governance and responsible AI.

· Actively exploring trends in data, analytics, ML and AI to shape strategic advice to clients, keeping abreast of emerging opportunities, funding mechanisms, competitor moves, shifting priorities and pain points in target public and private sector domains.

· Educating executives on data & AI technologies, techniques, market offerings to empower leadership decisions.

· Advising C-suite teams on comprehensive enterprise data strategies, ensuring robust data foundations before AI implementations.

· Guiding data-driven initiatives and building tailored Data & AI strategies spanning detailed plans and business cases to roadmaps.

· Supporting clients to grow a lasting data & AI capability by leading on data literacy, mentoring and knowledge sharing.

· Articulating and quantifying the value proposition of the consultancy’s data and AI capabilities to prospects across public and private sector.

· Working within the practice to build offers, provide thought leadership, training, and mentoring.

· Understanding how to deliver projects and the management of them from start to finish.

Essential Skills and Experience:

• Experience setting strategic direction for use of Data & AI, shaping and supporting delivery of impactful solutions spanning business strategy, transformation, and operations.
• Confidence conveying complex technical concepts of AI and ML to a wide range of stakeholders, including technical and non-technical audiences.
• Ability to assess relevant techniques for a use-case, decide on an appropriate evidence-based approach, and communicate and justify that approach to stakeholders.
• Understanding of data governance and ethics principles, including security,…