Product Model – Data & Analytics Tech Data Lead Because your new ideas are our way new ways of working. Evolve, your way. Technology at Primark
Our technology team is actively shaping the next wave of advancements. Engaged with innovative initiatives, your expertise will propel our business into the future. Collaborating with a creative team of tech enthusiasts, you'll contribute your unique skills to fuel our technological advancements.
The mission for the Data & Analytics team is to enable and empower our partners across the business to use high impact data & analytics tools, technologies and methodologies to drive business insights & improve business outcomes.
What You'll Do as a Product Model – Data & Analytics Tech Data Lead
We want you to feel challenged and inspired. Here, you'll develop your skills across a range of responsibilities:Have overall accountability for the technology delivery of Data & Analytics products and services to the Product Model programme, ensuring product, project, programme teams and delivery partners work effectively.Provision of the necessary data, integration and architecture to support technical implementation of the data stream requirements, ensuring that IT metrics align with program objectives.Provide a clear, articulate and executable strategy & roadmap for the Product Model programme.Work with Product Model team, Data Practice, Analytics Practice and Portfolio Performance Manager to co-create plans and approaches, also includes capacity management.Ensure all initiatives are within timelines and budget.Ensure the Product Model Programme's data deliverables align with IT objectives and comply with governance. Monitor the adherence to IT quality standards and agile principles across projects.Manage risks, assumptions, issues, dependencies and change to ensure delivery of results. Ensure that technological risks and issues are identified and brought to the Programme Teams awareness, suggest mitigation plans and gain approval.Plan and suggest allocation of technical resources based on program and project needs.Technical Collaboration: Work closely with The Tech Heads of Product to ensure that the IT systems meet the business needs.Identify, collate and validate Product Model opportunities that need to be enabled by Data & Analytics products and services. What You'll Bring
Here at Primark, we want everyone to feel valued – so please bring your authentic self to work, of course with some other key experience and abilities for this role in particular:A Bachelor or master's degree in a quantitative field (Operation Research, Computer Science, Engineering, Applied Math, Economics, Statistics, Analytics, Management/Business Information Systems or related degree).10+ years of demonstrable experience in related field, along with Team Management & Leadership experience.Up to date on large scale data and analytics technologies, trends and practices.Experience conducting quantitative and qualitative analysis with visualisation and analytics techniques to solve defined business problems.Project management experience involving multiple stakeholders, and prioritising and delegating activities. About Primark
At Primark, people matter. They're the beating heart of our business and the reason we've grown from our first store in Dublin in 1969 to a £9bn+ turnover business and over 80,000 colleagues and over 440 stores in 17 countries today. Our values run through everything we do. In essence, we're Caring and always strive to put people first. We're also Dynamic, bravely pushing the boundaries to stay ahead. And finally, we succeed Together.
If you need any reasonable adjustments or have an accessibility request during your recruitment journey, such as extended time or breaks between online assessments, a sign language interpreter, mobility access, or assistive technology please contact your talent acquisition specialist.
All offers of employment are subject to background checks, including right to work, reference education and for some roles criminal and financial checks. If you have any concerns, please reach out to our talent acquisition team to discuss.
#J-18808-Ljbffr