Case Studies

A Fractional Executive Applied Industry Expertise to Streamline Hiring at a Software Company

March 3, 2025

About the company

The company sells, delivers, and supports data management and manufacturing SaaS.

Primary industry:
Software
Financing status:
Seed
Primary Office:
Mexico City
Website:

Problem Statement

  • The company is struggling to identify and hire top-tier talent for highly technical roles, such as engineering leads, data engineers, and data architects. The challenge lies in effectively interviewing and vetting candidates to ensure they have the right expertise and leadership capabilities. Without a strong hiring process, the company risks delays in building a high-performing data management team, which could impact overall business efficiency and innovation.
  • To address this, the company is looking for a fractional Head of Data Engineering—a senior professional with at least 8 years of experience in building and managing data teams—who can step in to refine the hiring strategy and ensure the best talent is brought on board. This role is open to candidates from any location.
  • Year: 2024
  • Advisors matched: 1
  • Advisors selected: 1
  • Satisfactory outcome: Yes

Case Study

Problem Statement

The company is struggling to identify and hire top-tier talent for highly technical roles, such as engineering leads, data engineers, and data architects. The challenge lies in effectively interviewing and vetting candidates to ensure they have the right expertise and leadership capabilities. Without a strong hiring process, the company risks delays in building a high-performing data management team, which could impact overall business efficiency and innovation. To address this, the company is looking for a fractional Head of Data Engineering—a senior professional with at least 8 years of experience in building and managing data teams—who can step in to refine the hiring strategy and ensure the best talent is brought on board. This role is open to candidates from any location.

Project Type
Project-based
Primary Skillset
Engineering Management
Problem Type
Need additional senior talent in a short time
Potential negative Impact
Inefficient processes
Root causes
Lack of internal skill or seniority
Solution

The fractional executive leveraged deep industry expertise to streamline the hiring process, ensuring the selection of top-tier talent for engineering and data roles. By implementing a strategic interviewing and vetting framework, they helped the company identify candidates with the right technical skills and leadership potential, prioritizing those with industry-recognized certifications like the Databricks Data Engineer Certification to validate their expertise and alignment with the company’s data strategy. The fractional helped hire 10 data experts with Databricks knowledge, enabling the company to expand its service offerings and reach more clients.

Solution

The fractional executive leveraged deep industry expertise to streamline the hiring process, ensuring the selection of top-tier talent for engineering and data roles. By implementing a strategic interviewing and vetting framework, they helped the company identify candidates with the right technical skills and leadership potential, prioritizing those with industry-recognized certifications like the Databricks Data Engineer Certification to validate their expertise and alignment with the company’s data strategy. The fractional helped hire 10 data experts with Databricks knowledge, enabling the company to expand its service offerings and reach more clients.

Project Format & Description

The fractional executive optimized the hiring process by implementing a strategic vetting framework, ensuring top talent selection while prioritizing certified expertise like the Databricks Data Engineer Certification.

Time commitment

  • 3 weeks
  • 8 hours

Outcome and Impact

  • The project was completed in the agreed-upon time frame with a satisfactory outcome.
  • The advisor was responsive to the client’s needs and concerns in a timely fashion.