Job Overview: The Practice Lead for Cloud & Data is accountable for defining scaling and governing the organizations 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:
Practice Strategy & Leadership
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.
Offering & Capability Development
Build and evolve Cloud & Data service offerings including:
o Cloud strategy migration and modernization o Cloud-native platforms and infrastructure-as-code
o Data platforms data engineering and integration o 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)
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)
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.
Job Location:
Monthly Salary:
Experience Required:
Posted on:
Vacancies:
