Practice Lead for Cloud & Data

Career Connect; Philippines; Hybrid; PHP 2,000,000 - 4,000,000; Full time

Benefits offered by this job

Hybrid work setup

Job summary

Career Connect seeks a Practice Lead for Cloud & Data to define, scale, and govern our cloud and data capabilities. You will drive cloud adoption, data platform modernization, and advanced analytics enablement to deliver secure, scalable solutions that support growth and digital transformation.

The role leads cloud architecture, data engineering, analytics, governance, and FinOps across client programs. You will build offerings, reference architectures, and certification paths, while partnering

Qualifications

• 12+ years of experience in cloud, data, or platform engineering.
• At least 5 years in senior leadership or practice-building roles.
• Strong hands-on knowledge of cloud platforms (AWS, Azure, GCP) and modern data architectures.
• Experience leading large-scale cloud migrations, data platform implementations, or analytics transformations.

Responsibilities

• Define and execute the Cloud & Data practice strategy, roadmap, and operating model aligned with enterprise and client priorities.
• Establish cloud and data as foundational platforms enabling digital, AI, and product innovation.
• Drive cloud-first and data-driven principles across application, integration, and analytics domains.
• Act as a thought leader in cloud platforms, data engineering, analytics, and platform economics.

Skills

Cloud architecture

Leadership

Stakeholder engagement

Data analytics

Job description

Job Overview:

The Practice Lead for Cloud & Data is accountable for defining, scaling, and governing the organization's cloud and data capabilities. This role drives cloud adoption, data platform modernization, and advanced analytics enablement to deliver secure, scalable, and insight-driven solutions that support business growth and digital transformation.

Key Responsibilities:

• Define and execute the Cloud & Data practice strategy, roadmap, and operating model aligned with enterprise and client priorities.
• Establish cloud and data as foundational platforms enabling digital, AI, and product innovation
• Drive cloud-first and data-driven principles across application, integration, and analytics domains
• Act as a thought leader in cloud platforms, data engineering, analytics, and platformeconomics

Offering & Capability Development:

• Build and evolve Cloud & Data service offerings, including:
  • Cloud strategy, migration, and modernization
  • Cloud-native platforms and infrastructure-as-code
  • Data platforms, data engineering, and integration
  • Analytics, BI, and data science enablement
• Define reference architectures, accelerators, landing zones, and reusable assets
• Standardize practices for data governance, security, and MLOps enablement

Delivery Excellence & Governance:

• Ensure reliable, secure, and high-quality delivery of cloud and data programs across clients and internal platforms
• Establish governance, KPIs, and quality standards for cost, performance, availability, and data quality
• Drive FinOps, platform reliability, and compliance across cloud environments
• Act as escalation point for complex or at-risk cloud and data initiatives

Talent & Capability Building:

• Build and lead multidisciplinary teams including cloud architects, platform engineers, data engineers, and analytics professionals
• Define role frameworks, skills taxonomy, learning paths, and certification strategies
• Grow strong communities of practice across cloud, data, and platform engineering

Client & Stakeholder Engagement:

• Partner with CIOs, CTOs, and data leaders to define cloud and data transformation roadmaps
• Lead cloud and data assessments, platform strategy workshops, and modernization planning
• Translate business and regulatory requirements into scalable, secure platform solutions

Commercial Growth & Partnerships:

• Support sales and pre-sales through solution design, estimates, proposals, and executive presentations
• Drive practice revenue growth through new offerings, account expansion, and platform-led engagements
• Build strategic partnerships with hyperscalers, data platform vendors, and technology ecosystem partners

Requirements

Required

• 12+ years of experience in cloud, data, or platform engineering, with at least 5 years in senior leadership or practice-building roles
• Strong hands-on understanding of cloud platforms (AWS, Azure, GCP) and modern data architectures
• Proven experience leading large-scale cloud migrations, data platform implementations, or analytics transformations
• Strong stakeholder engagement and executive communication skills
• Experience operating in enterprise or regulated environments

Preferred

• Experience with data governance, master data management, and advanced analytics or AI enablement
• Background in consulting, digital transformation, or technology services organizations
• Certifications in cloud platforms, data engineering, or architecture frameworks
• Experience with FinOps and cloud cost optimization practices

Success Measures

• Cloud and data platform adoption and maturity
• Improvements in platform reliability, scalability, and cost efficiency
• Growth in cloud and data services revenue
• Client satisfaction and long-term platform engagements
• Strength and sustainability of cloud and data talent pipeline

Work Set-Up:

Hybrid in BGC (1-2x a week or as needed)