Learning & Development Partner – Data Engineering Business

Experience: 10–13 Years

Role Purpose

The Learning & Development Partner will work closely with the Data Engineering business leadership to design, drive, and deliver learning strategies that build critical technical capability, leadership depth, and future-ready skills. This role acts as a strategic partner to the business, ensuring learning directly enables business growth, delivery excellence, and talent readiness.

Key Responsibilities

Business Partnership & Strategy

• Partner with Data Engineering leaders to understand business priorities, capability gaps, and future skill needs.

• Translate business goals into structured learning roadmaps covering technical, leadership, and behavioral competencies.

• Develop and execute an AI capability-building roadmap for employees, aligned with business priorities and emerging technology trends.

• Act as a trusted advisor to leaders on talent development and skill readiness.

Technical and Capability Development

• Design and curate learning interventions for Data Engineering roles.

• Leverage internal Subject Matter Experts (SMEs) and external partners to create high-impact, contextual learning programs.

• Ensure learning pathways are role-based, progressive, and aligned to career growth.

• Leverage AI tools for content design and development, and learning operations.

Leadership and Behavioral Development

• Support the design and delivery of leadership development programs for technical and people leaders within the Data Engineering function.

• Embed skills such as communication, stakeholder management, execution excellence, and people leadership.

Learning Governance and Effectiveness

• Define success metrics to measure learning effectiveness and business impact.

• Review learning outcomes through feedback from managers, mentors, and participants.

• Continuously refine programs based on data, feedback, and evolving business needs.

• Leverage Learning Management Systems (LMS) to track learning progress, adoption, and effectiveness, with a working understanding of LMS capabilities and governance.

Stakeholder and Program Management

• Manage multiple learning initiatives simultaneously while ensuring quality, timelines, and alignment.

• Collaborate closely with HR, Talent, and leadership teams to drive cohesive development outcomes.

Required Experience & Skills

Experience

• 10–13 years of experience in Learning & Development, with prior experience supporting Data Engineering or similar technical businesses.

• Understanding of Data Engineering roles, skills, and career progression.

• Proven experience in business partnering and influencing senior stakeholders.

• Experience designing structured learning journeys covering both technical and leadership development.

• Ability to translate complex technical needs into effective learning solutions.

Skills

• Strong communication, stakeholder management, and execution skills.

• Strong reporting and analytics capability, with advanced proficiency in Microsoft Excel and PowerPoint to generate clear, insightful monthly learning reports and dashboards.

This Learning & Development Partner role builds technical, leadership, and AI-related capabilities for a Data Engineering business. It connects business priorities with learning programs, advises leaders on readiness, and uses feedback and metrics to improve learning impact.

Role at a glance

Skills mentioned

What you will likely work on

• Partner with Data Engineering leaders to identify capability gaps and future skill needs.
• Turn business priorities into technical, leadership, and behavioral learning roadmaps, including an AI capability plan.
• Design role-based learning programs and progressive learning pathways for Data Engineering employees.
• Coordinate internal subject matter experts and external partners to develop contextual learning interventions.
• Support leadership development for technical and people leaders, including communication and stakeholder skills.
• Set learning success measures, review feedback and outcomes, and refine programs based on evidence and changing needs.
• Use LMS capabilities and governance to track learning progress, adoption, and effectiveness.
• Manage multiple initiatives and collaborate with HR, Talent, and leadership teams to coordinate delivery.

Good fit signals

• Brings 10–13 years of Learning & Development experience, including support for Data Engineering or a comparable technical business.
• Understands Data Engineering roles, skill needs, and career progression.
• Has partnered with business leaders and influenced senior stakeholders on talent development.
• Can translate complex technical needs into structured learning journeys spanning technical and leadership development.
• Communicates clearly and has strong execution, reporting, and analytics skills, including advanced Excel and PowerPoint proficiency.