The Learning House

Chichester
Total Offices: 3

Jobs at The Learning House

Let Your Resume Do The Work
Upload your resume to be matched with jobs you're a great fit for.

5 Days AgoSaved
In-Office
3 Locations
Edtech
Build, test, deploy, and support digital marketing campaigns and automated customer journeys in Salesforce Marketing Cloud. Develop email templates, manage segmentation and personalization, perform quality assurance, troubleshoot campaign and data issues, support platform integrations, and translate business requirements into technical solutions. The role also maintains documentation, ensures privacy and governance compliance, and contributes to marketing automation process improvements.
6 Days AgoSaved
In-Office or Remote
5 Locations
Edtech
Provides senior technical leadership for Wiley’s people technology portfolio, serving as the Workday and connected-platform subject matter expert. Leads system implementations, integrations, optimization, architecture, standards, and innovation across Workday, Paradox, Extend, Culture Amp, and Crunchr. Partners with People, IT, and business leaders, coaches colleagues, supports change adoption, and delivers cross-functional programs that improve colleague experience, scalability, and operational efficiency.
14 Days AgoSaved
In-Office
2 Locations
Edtech
Designs, develops, and optimizes Salesforce-based marketing technology solutions across Pardot, Salesforce Marketing Cloud, integrations, analytics, and data platforms. Leads solution architecture, hands-on development, technical standards, lifecycle delivery, quality practices, and platform roadmap initiatives. Guides onshore and offshore development teams, partners with product owners and stakeholders, and translates marketing requirements into scalable technical designs and implementations.
17 Days AgoSaved
In-Office
3 Locations
Edtech
Own the roadmap, backlog, requirements, delivery, quality, governance, and adoption of publishing data products. Partner with stakeholders, analysts, product owners, data engineering, architecture teams, vendors, and technology providers to deliver reliable data warehouse tables, schemas, pipelines, and analytics capabilities. Translate business needs into Agile technical deliverables, coordinate releases, monitor data quality, and support informed decision-making across Wiley’s global Research business.
18 Days AgoSaved
In-Office or Remote
4 Locations
Edtech
Analyze campaign and CRM data using SQL and BigQuery, reconcile data sources, investigate discrepancies, and build accurate Power BI dashboards. Present actionable marketing insights and recommendations to stakeholders, explain methodology and limitations, defend findings, and independently make routine analytical decisions while escalating significant blockers.
25 Days AgoSaved
In-Office
3 Locations
Edtech
Leads Wiley’s Enterprise Data Platform product domain, owning its roadmap, prioritization, adoption, team development, and business outcomes. Partners with senior business and technology stakeholders to simplify the data landscape, improve governance and reuse, and deliver scalable capabilities for trusted decision-making. The role requires strong enterprise product leadership, data platform expertise, stakeholder influence, technical understanding, and experience developing teams and product management practices.
One Month AgoSaved
In-Office or Remote
2 Locations
Edtech
Own production NLP and applied AI systems that enrich scientific literature with entities, classifications, claims, and summaries. Design and evaluate classical NLP, embedding, retrieval, and LLM approaches; build scalable Python pipelines; manage cost, concurrency, reliability, and model quality. Collaborate with data engineers on Airflow and Dagster orchestration, contribute to agentic AI applications, and work with editors, product managers, and engineers to deliver research intelligence to users.
One Month AgoSaved
In-Office or Remote
2 Locations
Edtech
Build and operate NLP enrichment pipelines over scientific literature, extracting entities, classifications, claims, and summaries. Compare classical NLP, retrieval, embedding, LLM, and fine-tuned model approaches using evaluations, cost, quality, and operational metrics. Create golden datasets, define evaluation strategies, contribute to agentic AI applications, and collaborate with editors, product managers, engineers, SMEs, and vendors to deliver production modeling systems.