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Elsevier

Data Platform & Analytics – Senior Engineering Manager

London
Posted about 2 months ago
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Data Platform & Analytics – Senior Engineering Manager

Are you passionate about leading high-impact engineering teams? Do you get energized by shaping data platforms that power real-world decisions?

About the team:

Helios- Helios is Elsevier’s enterprise technology data platform, providing a unified, trusted view of systems, assets, and operational data to enable smarter, data-driven decisions at scale. It underpins critical capabilities across cost optimisation, resilience, and governance, with a focus on automation and self-service insights.

Data & Analytics- The Data & Analytics team turns complex operational data into clear, actionable insights that drive performance and decision-making across Technology. With a growing focus on GenAI and advanced analytics, the team is evolving towards delivering high-impact, insight-led capabilities that shape strategic outcome.

About the role:

We are looking for a senior leader to shape and lead our operational data platform and analytics capability across Technology Infrastructure and Operations (TIO). This role combines ownership of our Helios operational data platform (Snowflake-based) and our Analytics & Insights function (Tableau/Power BI), bringing them together into a single, high-performing data ecosystem. You will be responsible for turning complex operational data into trusted, scalable data products and actionable insights that improve decision-making across our technology organization.

Requirements : Leadership & Impact Experience leading data engineer and/or analytics teams at scale Proven ability to operate as a strategic partner to senior stakeholders Track record of delivering measurable business impact through data. Data & Technology Expertise Strong understanding of modern data platforms (e.g. Snowflake, DBT, cloud-based pipelines) Experience with data modelling, warehousing, and large-scale data ecosystems Familiarity with analytics and visualization tools (e.g. Tableau) Understanding AI from a team adoption and value-add angle within the existing toolset Analytics & Business Insight Ability to define KPIs, metrics, and analytical frameworks Experience translating data into clear business insights and recommendations Operating Model & Delivery Experience building or evolving data operating models Strong delivery focus, with the ability to manage competing priorities and stakeholders

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£35,000/yr

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Responsibilities:-

Lead a Unified Data Function Lead and develop Data Engineering and Analytics & Insights teams Create a clear operating model across data platforms, data products, and analytics Build a high-performing, multidisciplinary team with strong engineering and analytical capabilities Evolve the Helios Data Platform Drive the maturation of a modern data platform spanning: Data ingestion and integration Core data models (including CMDB / asset registry) Curated data layers for reporting and analytics Ensure high standards in data quality, governance, lineage, and reliability Enable self-service and API-driven access to trusted data

Deliver High-Impact Analytics and Insights Lead the delivery of insight-driven dashboards and analytics aligned to strategic priorities Move the organization from reactive reporting to proactive, decision-focused insights Partner with stakeholders across Technology to define meaningful metrics and outcomes Bring AI thought leadership to accelerate the adoption of new technology to accelerate and simplify putting data into the hands of our stakeholders Drive Data-Informed Decision Making Act as a senior thought partner to technology and business leaders Embed a culture of data-driven decision-making Translate complex data into clear, actionable narratives Lead our TIO Data Governance organization

Improve Delivery and Ways of Working Establish effective prioritization, intake, and roadmap processes through existing product and technology leaders in the team Align platform and analytics delivery to business value Balance innovation, strategic initiatives, and operational reliability

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Why join us?

Join our team and contribute to a culture of innovation, collaboration, and excellence. If you are ready to advance your career and make a significant impact, we encourage you to apply.

Work in a way that works for you

We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance, and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive.

Working for you

We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Comprehensive Pension Plan Home, office, or commuting allowance. Generous vacation entitlement and option for sabbatical leave Maternity, Paternity, Adoption, and Family Care leave Flexible working hours Personal Choice budget Internal communities and networks Various employee discounts Recruitment introduction reward Employee Assistance Program (global)

About the business –

A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world’s grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world.

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Skills

Data Engineering
Analytics
Data Platforms
Data Modelling
Data Warehousing
Cloud-Based Pipelines
Tableau
Power BI
AI
Data Governance
Data Quality
Data Integration
KPI Definition
Metrics
Analytical Frameworks
Proactive Insights

Location

London, England, United Kingdom

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