New

Learning & Development Partner – Data Engineering Business

Bengaluru, Karnataka, India

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.

Note:

By submitting your application, you consent to being contacted by our Talent Acquisition team via phone call, email, SMS, WhatsApp, or other communication channels regarding your application and relevant career opportunities.

Apply for this job

*

indicates a required field

Phone
Resume/CV*

Accepted file types: pdf, doc, docx, txt, rtf

Cover Letter

Accepted file types: pdf, doc, docx, txt, rtf


Education

Select...
Select...
Select...
Select...
Select...

Please mention your current or most recent designation

Please mention the name of your current or most recent employer.

Please mention numeric value for the exact number of days you are required to serve as notice.

Select...
Select...

Current Compensation: Enter the numerical value up to two decimal places (e.g., Eighteen Lakhs Twenty Thousands = 18.20).

Expected Compensation: Enter the numerical value up to two decimal places (e.g., Eighteen Lakhs Twenty Thousands = 18.20).

Select...
Select...

(For example:
Google, Microsoft: Prestige, Innovation, Resume-Builder, High-Compensation
TCS, Infosys: Stability, Process-Driven, Bench-Time, Structured
McKinsey, Accenture: Pedigree, High-Pressure, Client-Facing, Fast-Track)

Select...