Data & Insights Strategy Lead

Hrtx; Metro Manila; On-site; PHP 892,800 - 1,116,000; Full time

Job summary

A tech solutions company in Metro Manila is seeking a Data & Insights Strategy Lead to manage data infrastructure and drive analytics initiatives. The ideal candidate has 5+ years in data management, proven leadership skills, and expertise in cloud platforms. This role offers a unique opportunity to shape the data strategy of the organization while working with a multidisciplinary team to foster innovation in analytics.

Qualifications

• 5+ years of experience in data management or analytics.
• Leadership experience in managing data teams.
• Hands-on experience with cloud data platforms.
• Knowledge of data privacy regulations.

Responsibilities

• Develop and oversee enterprise-level data frameworks.
• Lead the delivery of data analytics initiatives.
• Manage a multidisciplinary team of data professionals.
• Establish data governance processes.
• Evaluate and implement emerging technologies.

Skills

SQL

Data modeling

ETL frameworks

Power BI

Tableau

Stakeholder communication

Analytical thinking

Problem-solving skills

Education

Bachelor's degree in Computer Science or related field

Master's degree (preferred)

Tools

Azure

AWS

GCP

Python

R

Job description

About the job Data & Insights Strategy Lead

Job brief

We are seeking an experienced Data & Insights Strategy Lead to spearhead the design and execution of scalable data infrastructure and analytics solutions. This hands-on leadership role involves guiding the development of data platforms and frameworks, enabling the business to make informed, data-driven decisions. The successful candidate will bring a strong blend of technical depth, leadership experience, and strategic thinking to shape the organizations information ecosystem.

Responsibilities

• Data Infrastructure & Architecture
  • Develop and oversee enterprise-level data frameworks including data lakes, warehouses, and cloud-based storage solutions.
  • Create and manage scalable data models and schemas to support real-time and historical reporting.
  • Define and implement data governance standards, ensuring data quality, integrity, and compliance across systems.
• Business Intelligence & Analytics
  • Lead the delivery of data analytics initiatives by developing dashboards, reports, and visualizations to surface actionable business insights.
  • Identify key trends and metrics that inform strategic and operational planning.
  • Partner with internal stakeholders to translate business needs into technical solutions.
• Team & Project Leadership
  • Manage a multidisciplinary team of data professionals, including engineers, analysts, and BI developers.
  • Assign priorities, oversee timelines, and ensure deliverables align with business objectives.
  • Foster a high-performance team culture through continuous coaching and knowledge sharing.
• Innovation & Emerging Technologies
  • Evaluate and implement emerging technologies to enhance data analytics capabilities and automation.
  • Champion the adoption of AI, machine learning, and predictive analytics for advanced business use cases.
  • Keep current with global trends in cloud platforms, data engineering, and data science.
• Governance, Risk & Quality Management
  • Establish and maintain data lifecycle and governance processes aligned with internal policies and external regulations.
  • Perform periodic reviews of systems for data accuracy, security, and consistency.
  • Drive initiatives for data standardization, classification, and stewardship.

Requirements

• Bachelors degree in Computer Science, Information Management, or a related technical field; Master\'s degree is an advantage.
• Minimum of 5 years\' progressive experience in data management, analytics, or enterprise data architecture.
• Proven leadership experience in building and managing high-performing data teams.
• Strong background in SQL, data modeling, and ETL frameworks.
• Hands-on experience with cloud data platforms such as Azure, AWS, or GCP.
• Proficiency in BI tools like Power BI, Tableau, or equivalent.
• Working knowledge of data privacy regulations and compliance best practices.
• Excellent stakeholder communication, analytical thinking, and problem-solving skills.

Preferred Skills & Certifications

• Industry certifications in data architecture, analytics, or cloud technologies (e.g., AWS Data Specialty, Microsoft Certified: Data Engineer).
• Practical experience with Python, R, or other scripting languages for data analysis.
• Exposure to AI/ML use cases in a business intelligence context.