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Senior Manager Data Product & Strategy

Closing date
7 Jul 2022

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Technology & New Media
Contract Type
Full Time
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Location:Asda House - Leeds

Employment Type:Full-time /Contract Type:Permanent

Hours per Week:37.50

Closing Date:5 July 2022

Senior Manager Data Product & Strategy

You will join our Customer Decision Science and Analytics team to lead a newly formed Data Product and Strategy team. You will manage the teams Data Product and develop our data strategy, aligned to our customer plan, enabling us to bring data to life and to deliver measurable ROI through the commercial application of decision science to customer and business problems.

Managing stakeholders across Strategy, Commercial, Ecommerce, Marketing, Customer, Supply Chain and Technology, your work will bring our customer strategy to life, leading and managing a team to deliver results. As Asda embarks on its digital and customer transformation, you'll be joining at the right time to make a difference as part of a new team. Rapidly increasing our data and analytics capability is a critical area of transformation and your knowledge and experience will be critical in shaping the future.

Your role

You will work as part of Asda's Decision Science and Analytics team. As a Data Product and Strategy, you will:
  • Look after the Data Product and Strategy work within the department, joining the Decision Science and Analytics Leadership Team
  • Lead a team of Data Engineers and help build customer data strategy. You will work closely with the Senior Director of Decision Science and Analytics to drive growth and identify needs for new technologies and tools.
  • Work closely with internal teams from analytics and data science to help build scalable and secure data platforms at the enterprise level
  • Work with our technology teams to develop tangible and ongoing standardisation, simplification and efficiency of engineering processes
  • Build innovative and new data products, leading the inception and design and partnering with technology to migrate and scale
  • Continue to build new capability, enriching our cloud data platform with datasets for all Asda colleagues
  • Work with our technology teams to deliver a data management process framework for the efficient acquisition, modelling, and processing of data
  • Work with our technology teams to design and develop the technology roadmap to deliver the capability required by the analytics and data science teams
  • Develop and evolve the data operating model to enable efficient analytics and data science delivery
  • Build relationships with key external partners
  • Set standards and share knowledge, ensuring the team remain engaged and skilled in the latest technology
  • Provide thought leadership on data can help make better business decisions for our customers and us
  • Ensure a Cloud First approach to our work
  • Hire, support and coach new team members. Ensuring they are thriving in their role within the team.
  • Support the careers of our analysts and data scientists through pro-active coaching, mentoring and regular 1-2-1s
  • Build strong relationships with other data, data science and analytics teams within Asda to learn, share and benefit from a wider data community
  • Keep up-to-date with the latest trends, techniques and methodologies and drive innovation with the team

About You

We want all colleagues to be able to bring their best and true selves to work, every day. Simply put, we want our colleagues to be Proud to be Asda and proud to be themselves. We'd like to hear from if have:
  • Extensive experienceworking in data and analytics, withof experience managing one or more teams
  • Proven experience working in/with data engineering roles
  • Proven Data Strategy experience in high volume customer facing businesses
  • Experience in building CI/CD data pipelines to support the delivery of analytics and data science at scale
  • Knowledge of data modelling and engineering practices
  • Passionate about innovative data analytics and data science applications to drive positive outcomes for our customers and business
  • High awareness of data and analytics technology, passion for learning, experimenting with new ways of doing things and continuous improvement
  • Strong verbal and written communication with the ability to present clear information in a range of ways.
  • Proven influencing skills, the ability to tell a convincing story internally and externally
  • Self-motivated, curious, and positive mindset
  • High degree of expertise in applying data engineering, analytics and/or data science to customer facing outcomes, ideally in a high-volume retail / ecommerce environment
  • Knowledge of modern analytics and data science platform tooling and processes (e.g. Python, SQL, Hive)
  • Experience with Cloud services (ideally Azure and GCP)
  • Ability to manage complex stakeholder relationships, listen, reflect and influence
  • Proactive problem solver comfortable with ambiguity
  • iExperence working with Data Engineering teams to efficiently productionise end to end processes
  • Experience of Agile delivery
  • High standards - you will know what good looks like and want to deliver it
  • Educated to degree level, ideally in a relevant STEM discipline

It would be great if you also had
  • Experience in helping evolve a culture of data in a company
  • Project management experience with the ability to manage and prioritise complex work projects concurrently
  • Experience working with consumer-level, product and supply chain data

Hybrid Working

Work Where it Works.Our hybrid way of working gives you the choice to work where it works. This enables you to complete your daily tasks where you'll be the most effective. It offers a mix of working from home and in an office environment that works best for you and your team. We would love to talk to you about this.

You will also get an excellent benefits package including:
  • Company car or £8k car allowance, plus discretionary company bonus
  • Company pension 1.5 times colleague's contribution (Max 15%)
  • 10% colleague discount, free parking and many additional rewards.

We want all colleagues to be able to bring their best and true selves to work, every day. Simply put, we want our colleagues to be Proud to be Asda and proud to be themselves.
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