Data Architect at PA Knowledge Limited - Denmark

London, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

19 Jun, 26

Salary

0.0

Posted On

21 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Strategy, Data Governance, Data Vision, Operating Models, Roadmaps, Data Platform Modernization, AI Readiness, Cross-functional Team Leadership, Business Requirements Synthesis, Business Case Development, ROI Measurement, Business Development, Thought Leadership, AWS, Azure, GCP

Industry

Business Consulting and Services

Description

Company Description We believe in the power of ingenuity to build a positive human future. We challenge where it matters and own the outcome. As strategies, technologies, and innovation collide, we create opportunity from complexity. Our teams of interdisciplinary experts combine strategic thinking, customer-centric service design, and agile engineering practices to accelerate innovation in a tech-driven world. Our clients adapt and transform, and together we achieve enduring results. We are over 4,000 strategists, innovators, designers, consultants, digital experts, scientists, engineers, and technologists. And we have deep expertise in consumer and manufacturing, defence and security, energy and utilities, financial services, government and public services, health and life sciences, and transport. Our teams operate globally from offices across the UK, Ireland, US, Nordics, and Netherlands. PA. Bringing Ingenuity to Life. Why consider joining our Digital & Data community? 🤔 Join our Data Science team, part of Digital & Data, working alongside product, design and a wide range of other experts and cross-disciplinary teams to bring ideas to life through innovative software solutions. Grow a flexible and unique consulting career within a trust-based, inclusive environment that values excellence, innovation, and curiosity. You have the option to progress with us on a technical career track. No need to go onto the Partner career track if this doesn’t align with what you want to do. Hybrid working - our approach is to be in the office or on client site a minimum of 2 days per week. Work on a broad variety of projects and tech stacks for clients across seven sectors - no project is ever the same Join other experts within our supportive and collaborative tech community through knowledge-sharing and peer-level support, coaching and mentoring Deepen your expertise through our a culture of learning and growth – you’ll have budget to take courses (technical and non-technical training), plus gain certifications Job Description As a Data Strategy Consultant at PA Consulting, you will partner with clients to define and deliver business-led data strategies that unlock value from organisations latent data stores and sources and enable advanced analytics and artificial intelligence use cases. You will be responsible for working with senior stakeholders to create a data vision, prioritising initiatives, and architecting roadmaps for programmes of change. Success in this role requires a deep understand of data and analytics ecosystems and approaches, strong business acumen, and the ability to translate disparate business needs and priorities into a scalable and actionable data strategy. Key responsibilities Operate at a strategic level to define client data vision, operating models, and roadmaps. Advise clients on best practices for data platform modernization, governance, and AI readiness. Lead cross-functional teams to drive data initiatives from strategy through to delivery. Synthesise business and technical requirements to produce high-impact data strategies and frameworks. Guide clients in building business cases for data investment and measuring ROI for data initiatives. Identify and win new opportunities, contribute to bids, and business development initiatives. Champion thought leadership and team capability development. Our technology stack We believe in using the right tools and technologies for the right task and maintain our impartiality for our clients with relationships across many cloud and software providers, you can expect to work across: Modern data platforms and cloud ecosystems including AWS, Azure, and GCP. Proprietary and external data quality, governance, and master data management frameworks. The latest business intelligence, analytics, machine learning, and artificial intelligence tooling. Data-enabled operating models and organisational change techniques. What you can expect Hybrid working model, with in-person client or office presence typically two to three days per week. Agile ways of working and close collaboration with cross-functional teams and stakeholders. A values-driven environment supported by a diverse community of digital and data professionals. Qualifications Essential requirements ✅ Even if you don’t meet every requirement below, feel free to still apply as we are often hiring for similar roles which your background might be better suited to. Experience driving data strategy, analytics transformations, or data governance initiatives end to end. Strong client-facing skills and ability to translate business requirements into actionable data initiatives. Familiarity with data architecture, analytics, and AI solutions and trends. Analytical thinker with a track record of problem-solving in complex environments. Experience in stakeholder management and business case development. Certifications in cloud platforms, data management, or analytics frameworks are advantageous Commitment to continuous learning and professional growth. #LI-SG1 Additional Information Assessment process ⚖️ Please note that the interview stages may be subject to change based on the specific requirements of the role. Quick call with one of our Tech Recruiters – to discuss your application, the role and PA Round 1: Either a competency or technical interview (60 mins) Round 2: Either a competency or technical interview, whichever you didn’t do at first round (60 mins) Final round 🎉: Meeting with a PA leader - a mini case study and discussion around your client-centricity (60 mins) Life At PA encompasses our peoples' experience at PA. It's about how we enrich peoples’ working lives by giving them access to unique people and growth opportunities and purpose led meaningful work. Our purpose guides how we work with our clients and our teams, and support our communities, to deliver insight and impact, solving the world’s most complex challenges. We're focused on building a workplace that values human difference and diverse mindsets, and a culture of inclusion and equality that unlocks the potential in our people so everyone can be their best self. Find out more about Life at PA here. We are dedicated to supporting the physical, emotional, social and financial well-being of our people. Check out some of our extensive benefits: Health and lifestyle perks accompanying private healthcare for you and your family 25 days annual leave (plus a bonus half day on Christmas Eve) with the opportunity to buy 5 additional days Generous company pension scheme Opportunity to get involved with community and charity-based initiatives Annual performance-based bonus PA share ownership Tax efficient benefits (cycle to work, give as you earn) We’re committed to advancing equality. We recruit, retain, reward and develop our people based solely on their abilities and contributions and without reference to their age, background, disability, genetic information, parental or family status, religion or belief, race, ethnicity, nationality, sex, sexual orientation, gender identity (or expression), political belief veteran status, or other by any other range of human difference brought about by identity and experience. We welcome applications from underrepresented groups. Adjustments or accommodations - Should you need any adjustments or accommodations to the recruitment process, at either application or interview, please contact us on [email protected]

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Responsibilities

The role involves partnering with clients to define and deliver business-led data strategies that unlock value from data stores and enable advanced analytics and AI use cases. Key responsibilities include defining the client data vision, operating models, and roadmaps, while advising on best practices for platform modernization and governance.