SSM Global COE - Senior Data Engineer

Description

Sponsorship: GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE.  DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP (e.g., H-1B, TN, STEM OPT, etc.) NOW OR IN THE FUTURE. 

Work Arrangement: This position is categorized as hybrid on NIGHT SHIFT. This means the successful candidate is expected to report to the office three times per week or other frequency as dictated by the business.

The Role

The Global Ops Coe in Manila is a developing team about world class delivery, customer support, driving a disruptive shift in strategy, structure, systems, processes, and technology across the enterprise under GM Sales Services and Marketing (SSM) function.

As part of the transition of GM’s software platforms to Databricks and AI platforms - the team is evolving its data reporting, data analytics and overall data management processes:

What You'll Do

Unify existing sales reports into a single, connected view of the end-to-end sales funnel, enabling consistent tracking from customer traffic to vehicle delivery

Improve sales performance by identifying conversion gaps and inventory inefficiencies and enabling faster, data-driven decisions

Establish a foundation for intelligent analytics with standardized KPIs and AI-driven insights, evolving from static reporting to proactive sales management

Create a unified semantic layer on Databricks / Databricks Visualizer for consistent reporting

Enhance reports with drilldowns and multi-dimensional analysis

Design, implement and own the Genie-based agent layer for Q&A, diagnostics, and proactive KPI-risk insights (reactive and proactive)

Data Integration: Build and orchestrate ingestion using Azure Data Factory (ADF) into Databricks, including monitoring and error handling, combining all data streams into a central environment (Databricks SQL / Spark)

Data Modeling & Cleansing: Create consistent, validated data models for tracking operational KPIs across the vehicle sales funnel — traffic → delivery, sales conversion, and inventory

Dashboard Development: Design interactive dashboards for operational tracking/metrics and leadership executive summary, primarily on Databricks Visualizer (with Power BI where applicable)

Advanced Analytics: Conduct trend, predictive, and segmentation analysis across the sales funnel (e.g., which factors drive conversion from traffic to delivery, and inventory efficiency)

Process Automation: Replace manual Excel and email-based reports with automated data refreshes and self-service reporting

This role combines data engineering, analytics, and visualization — ensuring data accuracy, faster insights, and scalable reporting

Your Skills & Abilities (Required Qualifications)

Bachelor’s degree in Data Science, Mathematics, Statistics, Computer Science, Sales or Subscription

3-5 Years in Data Engineering / Data Analytics / Data Science or related field

Data governance: Hands-on experience with Unity Catalog and a governed Lakehouse (Bronze/Silver/Gold) to deliver a single source of truth

Databricks: Hands-on Databricks experience (Databricks SQL / Spark)

Data Ingestion & Orchestration: Experience building automated ingestion with Azure Data Factory (ADF) into Databricks, including monitoring and error handling. Strong focus on code, optimization, and modern Lakehouse architecture

Source reality: Proven experience building automated ingestion from semi-structured / file-based sources (e.g., Excel and email-based feeds refreshed daily), not only querying clean relational databases

Data Visualization: Proficiency in building dashboards on Databricks Visualizer (primary reporting platform). Power BI is a required skill; Databricks Genie for natural-language Q&A

AI Integration: Hands-on ability to implement AI/agent-based solutions (Databricks Genie) and design proactive KPI-risk alerts

Data Modeling & Integration: Experience designing data models, relationships, hierarchies, and calculated measures

Database & Querying: Strong SQL skills; ability to query large datasets

Data Preparation: Data transformation for reporting accuracy. Experience with Python or R for advanced analytics or predictive modeling a plus

Reporting Automation: Ability to automate refresh schedules, pipelines, and alerts for reports

Statistical & Analytical Skills: Strong understanding of KPIs, variance analysis, forecasting, and trend detection. Predictive modeling and demand forecasting a plus

What Will Give You A Competitive Edge (Preferred Qualifications)

Ability to think critically, solve problems, make decisions and build trust across the organization

Ability to guide team on multiple tasks and deliver results with aggressive timelines

Excellent interpersonal skills, as well as excellent communication skills, verbal and written

Demonstrate self-motivation and the ability to grasp concepts quickly

Embrace data driven & customer insights to inform plans, launches, and iterations

Highly proficient in oral and written communication skills 

Background on emerging technological advancements such as AI

Strong organizational skills with proven track record of efficiently executing complex projects to completion at a high level of quality

Demonstrated high level of interpersonal skills required to effectively collaborate, motivate, and facilitate others in group situations

Desire to work in a complex and evolving environment and to bring an innovation mindset

Comfort working in a fast-paced start-up technology environment is essential

Strong computer software skills, Google Workspace / Google Office experience is a plus

Given expected interaction with Mexico site - ability to speak Spanish is a plus but not required

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us 

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

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Non-Discrimination and Equal Employment Opportunities (U.S.)

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We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

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