Job Overview
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 outcome. This senior leader role is responsible for shaping and leading our operational data platform and analytics capability across Technology Infrastructure and Operations (TIO), combining ownership of the Helios platform (Snowflake-based) and the Analytics & Insights function (Tableau/Power BI) into a single high-performing data ecosystem, turning complex operational data into trusted, scalable data products and actionable insights that improve decision-making across our technology organization. Lead a Unified Data Function.
Key Responsibilities
- 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 adoption of new technology and simplify delivering data to 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
- Align platform and analytics delivery to business value
- Balance innovation, strategic initiatives, and operational reliability
Qualifications
- Experience leading data engineer and/or analytics teams at scale, operating as a strategic partner to senior stakeholders, and delivering measurable business impact through data.
- Strong understanding of modern data platforms (Snowflake, DBT, cloud-based pipelines), data modelling, warehousing, and large scale data ecosystems.
- Familiarity with analytics and visualization tools (Tableau, Power BI) and AI adoption within the existing toolset.
- Ability to define KPIs, metrics, and analytical frameworks; experience translating data into clear business insights and recommendations.
- Experience building or evolving data operating models and managing competing priorities and stakeholders.
Benefits
We promote a healthy work/life balance across the organization.
- Working flexible hours – flexing the times when you work in the day to help you fit everything in.
- Comprehensive Pension Plan
- Home, office, or commuting allowance
- Generous vacation entitlement and option for sabbatical leave
- Maternity, paternity, adoption, and family care leave
- Personal Choice budget
- Internal communities and networks
- Various employee discounts
- Recruitment introduction rewardEmployee Assistance Program (global)
#J-18808-Ljbffr…