Vice President, Data Engineering

Position Summary

The VP, Data Engineering is a senior executive role responsible for defining and

executing Qualfon's enterprise-wide data and respective AI strategy. This leader owns

the transformation of data into a strategic asset that drives operational excellence,

enables real-time decision-making, and unlocking new revenue streams through

advanced analytics and data monetization. The role is accountable for the full lifecycle

of data across the organization, including data architecture, governance, business

intelligence, advanced analytics, and AI enablement, spanning all business units

including BPO operations, marketing services, fulfillment, logistics and lead generation.

Reporting to the Chief Information Officer, this role will lead the evolution from

traditional reporting and business intelligence into a modern, scalable, and self-service

analytics ecosystem powered by Microsoft Fabric. A core mandate is to establish a

governed, business-friendly data environment where leaders can independently access

insights, reducing dependency on technical teams while maintaining data integrity and

consistency. This includes building reusable semantic models, standardized KPIs, and

intuitive dashboards that drive adoption across finance, operations, HR, marketing, and

client-facing teams.

This role will also be responsible for embedding advanced analytics and AI into the

business, enabling predictive and prescriptive capabilities such as customer behavior

modeling, workforce optimization, lead scoring, and operational forecasting. This leader

will work closely with executive stakeholders to ensure that insights are not only

generated but operationalized and that translates data into measurable business

outcomes such as cost reduction, revenue growth, and improved client experience.

The ideal candidate will bring 12+ years of progressive leadership experience in data,

analytics, or AI, with a proven track record of transforming organizations from

traditional BI environments into advanced, insight-driven enterprises. This individual must possess deep expertise in modern data platforms (e.g., Microsoft Fabric, Azure, or

similar), strong business acumen, and the ability to lead organizational change. Equally

important is the ability to communicate complex data concepts in a clear and

compelling way to both technical and non-technical audiences, and to build strong

partnerships across the enterprise.

This role requires a forward-thinking leader who combines strategic vision with hands

on execution, capable of building high-performing teams and fostering a culture where

data is trusted, accessible, and central to every key decision.

Key Responsibilities

• Define and execute an enterprise-wide data, analytics, and AI strategy aligned to

Qualfon's multi-business operating model

• Transform data into a strategic asset that drives decision-making, operational efficiency,

and revenue growth

• Lead the design, implementation, and evolution of the enterprise data platform

leveraging Microsoft Fabric, enabling scalable, secure, and high-performance data

solutions

• Establish a governed self-service analytics environment, reducing reliance on technical

teams while empowering business users with intuitive dashboards and insights

• Drive the transition from descriptive and diagnostic reporting to predictive and

prescriptive analytics across all business functions

• Embed advanced analytics and AI capabilities into core operations, including workforce

optimization, customer experience, marketing performance, lead generation, and

logistics

• Develop and implement data monetization strategies, identifying opportunities to

create revenue-generating data products and client-facing analytics solutions

• Partner with operational, client and sales teams to integrate insights into client offerings

and enhance Qualfon's competitive differentiation

• Standardize enterprise KPIs and reporting frameworks to ensure a single source of truth

across finance, HR, operations, and commercial teams

• Improve speed to insight by enabling real-time or near real-time reporting and

automated decision-support tools

• Establish and enforce data governance, data quality, and master data management

practices while maintaining agility and accessibility

• Define data ownership, stewardship, and accountability models across business units

• Lead and scale multidisciplinary teams across business intelligence, data engineering,

and data science

• Evolve team capabilities from report development to data product creation and

advanced analytics delivery

• Drive cross-functional data integration across BPO operations, marketing services,

fulfillment, logistics, and lead generation to enable end-to-end visibility and insights

• Collaborate with executive leadership to translate business strategy into data-driven

initiatives and measurable outcomes

• Foster a data-driven culture by improving data literacy, adoption of analytics tools, and

accountability for data-informed decision-making across the organization

Qualifications

• Bachelor's degree in Data Science, Computer Science, Information Systems, Engineering,

Business Analytics, or a related field required; or equivalent combination of education

and relevant professional experience.

• 12+ years of progressive leadership experience in data, analytics, business intelligence,

or AI, with at least 5+ years in a senior or executive leadership role

• Proven track record of transforming organizations from traditional reporting

environments into advanced analytics and AI-driven enterprises

• Demonstrated experience designing and implementing modern data platforms (e.g.,

Microsoft Fabric, Azure, Snowflake, Databricks, or similar)

• Strong experience enabling self-service analytics and building scalable semantic models,

data products, and governed BI environments

• Experience developing and executing data monetization strategies or leveraging

analytics to drive measurable revenue growth

• Deep understanding of data governance, data quality, master data management, and

enterprise data architecture principles

• Hands-on experience with advanced analytics, including predictive modeling,

prescriptive analytics, and AI/ML applications in business environments

• Experience working across complex, multi-business or multi-industry organizations;

exposure to BPO, customer experience, marketing services, logistics, or lead generation

is highly preferred

• Strong commercial acumen with the ability to translate data insights into business value

and strategic outcomes

• Proven ability to lead and scale high-performing, cross-functional teams across data

engineering, BI, and data science disciplines

• Excellent communication and stakeholder management skills, with the ability to

influence executive leadership and clearly articulate complex concepts to non-technical

audiences

• Demonstrated success leading organizational change, driving adoption of new

technologies, and fostering a data-driven culture

• Experience integrating data across acquisitions or disparate systems is highly desirable

• High level of proficiency with modern analytics tools and ecosystems, including Power

BI, SQL, and cloud-based data services

• Strong understanding of security, privacy, and regulatory considerations related to data

management (preferably SOC2, PCI & ISO27001)

About Qualfon

At Qualfon, we are focused on delivering engaging interactions and positive experiences that

leave a lasting impression. When you work here, you have the power to make each person's life

better. Our Qualfon Mission is to help as many people as possible pursue their total vocation -

as individuals and as members of society - by creating an ever-growing number of job

opportunities as we strive to become the partner of choice for our clients.