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Vice President, Data Engineering

12 hours, 9 minutes ago
Philippines
Full-time
Executive
Data Engineer
Data Science and Analytics
Azure Databricks Machine Learning Power BI Snowflake SQL
Apply Now
TASQ Staffing Solutions

TASQ Staffing Solutions

TASQ Staffing Solutions, founded by experts with over 70 years of collective experience, is a trusted partner for companies seeking top talent. With a highly skilled team serving organizations of all sizes, TASQ delivers staffing solutions across vario...

Professional Services
11-50
View All Jobs 9

Description

  • Define and execute an enterprise-wide data, analytics, and AI strategy aligned to the organization’s operating model.
  • Lead the design, implementation, and evolution of the enterprise data platform using Microsoft Fabric or similar technologies.
  • Establish a governed self-service analytics environment with reusable semantic models, standardized KPIs, and intuitive dashboards.
  • Drive the shift from descriptive reporting to predictive and prescriptive analytics across business functions.
  • Embed advanced analytics and AI into core operations such as workforce optimization, customer experience, marketing performance, lead generation, and logistics.
  • Develop and implement data monetization strategies and client-facing analytics offerings.
  • Partner with operational, client, and sales teams to integrate insights into offerings and improve competitive differentiation.
  • Establish and enforce data governance, data quality, and master data management practices.
  • Define data ownership, stewardship, and accountability models across business units.
  • Lead and scale multidisciplinary teams across business intelligence, data engineering, and data science.

Requirements

  • Bachelor’s degree in data science, Computer Science, Information Systems, Engineering, Business Analytics, or a related field, or equivalent experience.
  • 12+ years of progressive leadership experience in data, analytics, business intelligence, or AI.
  • 5+ years of experience in a senior or executive leadership role.
  • Proven track record of transforming traditional reporting environments into advanced analytics and AI-driven enterprises.
  • Experience designing and implementing modern data platforms such as Microsoft Fabric, Azure, Snowflake, or Databricks.
  • 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 using 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 predictive modeling, prescriptive analytics, and AI/ML applications in business environments.
  • Experience 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 and 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.
  • Excellent communication and stakeholder management skills, including the ability to influence executive leadership and explain complex concepts to non-technical audiences.
  • Demonstrated success leading organizational change and driving adoption of new technologies.
  • Experience integrating data across acquisitions or disparate systems is highly desirable.
  • High 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, and ISO27001.

Interested in this position?

Apply directly on the company website

Apply Now

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