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Data Product Owner

Wood Mackenzie
Closing date
28 Jan 2022

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Technology & New Media
Contract Type
Full Time
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Company DescriptionCompany DescriptionWood Mackenzie is the global leader in data, analysis and consulting across the energy, chemicals, metals, mining, power and renewables sectors.

Founded in 1973, our success has always been underpinned by the simple principle of providing trusted research and advice that makes a difference to our customers. Today we have over 2,000 customers ranging from the largest global energy companies and financial institutions to governments as well as smaller market specialists.

Our teams are located around the world. This enables us to stay closely connected with customers and the markets and sectors we cover. Collectively this allows us to offer a compelling combination of global commodity analysis with detailed local market knowledge.

We are committed to supporting our people to grow and thrive. We value different perspectives and aspire to create an inclusive environment that encourages diversity and fosters a sense of belonging. We are committed to creating a workplace that works for you and encourage everyone to get involved in our Wellness, Diversity and Inclusion, and Community Engagement initiatives. We actively support flexible working and are happy to consider alternative work patterns, taking into account your needs and the needs of the team or division that you are looking to join.

Hear what our team has to say about working with us:

Job DescriptionDo you have a passion for Data? Are you a Problem-Solver with an ability to quickly understand complex processes? Then this role could be for you. We are looking for a Data Manager to form part of our Data Leadership team. This opportunity will help shape our Roadmap, work with our expert Data, Engineering and Research talent to deliver new Insight and Analytics.

We are looking for someone with a Product focus and experience of developing talent. Located in Edinburgh or Glasgow, this exciting role will drive transformation within our business.

About you and how you can excel in this roleThe successful candidate for this role must have a strong Data background and understand the challenges of building a modern data centric business with a commitment to incremental delivery. Proven experience of data transformation projects, and the ability to articulate ideas effectively across all business areas is essential.

Key Responsibilities
  • Together with Data and Product agree the best approach to deliver our data roadmap and vision
  • Ensure the design and implementation of connected, scalable data pipelines in-line with our Engineering principles and Data architecture
  • Deliver industry leading data tools/frameworks to enable efficient Analytics and Insight
  • Automate priority workflows, ETL and deliver efficiencies through connected datasets and integrated pipelines
  • Identify opportunities for the use of data science and machine learning
  • Foster an agile, high-performance and collaborative culture
  • Create documentation to provide clear understanding of processes and enable migration from legacy systems
  • Support the recruitment and development of the right people that will deliver our Data Vision and the commercial success of our business
QualificationsKnowledge and Experience
  • Strong technical foundation with proven experience in delivering data transformation projects and advanced analytics
  • Experience with leading, coaching and mentoring individuals and teams through change
  • Experience in data governance, data quality management & related business processes
  • Hands on expertise with agile methodologies, product delivery and data analysis
  • Expert level knowledge in Python, SQL and strong understanding of AWS
  • Familiarity with data architecture, design patterns and stream processing technologies
  • Excellent stakeholder, project management and communication skills
  • Solid experience of data modelling techniques and exploitation and BI tools
About The RoleThis role will form part of the Data Leadership group and will work closely with our Global Research, Data and Product functions. Reporting to the Head of Conventional Upstream Data, the successful candidate will be help solve challenges around data pipelines, analysis and quality.

The success of this role will require a great deal of collaboration, problem solving and decision making. The core objective is to help migrate workflows from legacy systems, deliver internal efficiencies and new commercial opportunities through data. Ensuring we have a supporting and inclusive culture within our team is essential.

The level of appointment to which band on the company banding structure will be dependent on your skills, experience and capabilities demonstrated at assessment prior to offer of employment.

Additional InformationAll your information will be kept confidential according to EEO guidelines.
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