Data Platform & Analytics – Senior Engineering Manager

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 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.

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 outcomes.

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.

Key responsibilities

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

Requirements

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), and 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

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 for you

• 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 are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1‑855‑833‑5120.

We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.

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