Save Job Back to Search Job Description Summary Similar JobsCompetitive pay and benefitsHybrid Work Set-UpAbout Our ClientA pioneering data and AI company that empowers organizations and communities to transform through responsible innovation, advanced analytics, and scalable digital solutions.Job DescriptionEngineering Vision, Architecture Governance & Technical StrategyDefine and communicate a clear engineering vision and tech roadmap aligned with business goals, in partnership with the CTOO.Stay current with emerging technologies and trends to foster innovation and maintain a competitive edge.Guide and review solution, data, and ML architectures across platforms like AWS, Azure, and Databricks.Maintain reference architectures and enforce principles for cost-efficiency, security, and reliability.Product Roadmap Co-ownershipConvert product strategy into actionable engineering plans, including epics, milestones, and resource planning.Balance feature development, technical debt, and infrastructure needs while making informed build-vs-buy decisions.Agile Engineering Excellence & Continuous ImprovementEmbed agile practices (Scrum/Kanban), CI/CD, DevSecOps, and MLOps, using DORA and Accelerate metrics.Implement SRE practices and incident response protocols.Continuously improve engineering tools, processes, and developer experience.Talent, Capacity & Budget ManagementLead and grow a multidisciplinary team of 20+ engineers, with structured career paths and training programs.Manage engineering resources, budgets, and timelines to ensure efficient delivery.Oversee OPEX and recommend CAPEX investments in tools and cloud infrastructure.Governance, Security & ComplianceEnsure compliance with ISO 27001, DPA, and SOC 2 through proactive security and privacy practices.Promote data governance, lineage, and quality in collaboration with data teams.Stakeholder & Client EngagementRepresent engineering in client engagements, demos, audits, and investor meetings.Collaborate cross-functionally with Product, Design, and GTM teams for seamless delivery.The Successful ApplicantBachelor's or Master's Degree in Information Technology, Data Science, or related disciplines8+ years of extensive experience in Engineering/ AI and/or Data Science field with 2 or more years in a senior management capacity managing multiple teamsProven ownership of cloud operations (AWS and/or Azure) and Databricks or equivalent lakehouse deployments.Track record instituting Agile, CI/CD, DevSecOps, SRE, and MLOps practices.Deep knowledge of data‑privacy and security standards (ISO 27001, GDPR/SOC 2).Exceptional stakeholder communication and vendor‑negotiation skills.Proven leadership skills and experience managing diverse engineering teams.Strong technical knowledge across various engineering disciplines. In-depth knowledge of engineering principles, practices, and industry standardsGood knowledge of best practices in fields of AI and Data ScienceStrong written and verbal communication skills to convey technical concepts to both technical and non-technical audiences.Ability to drive strategic initiatives and manage complex projects.Analytical and problem-solving skills to navigate complex technical challenges.What's on OfferCompetitive salary package.Comprehensive HMO coverage, including dependents.Generous allowances and additional benefits.Opportunities to work within a forward-thinking technology team.ContactBianca CruzabraQuote job refJN-072025-6786980Phone number+63 2 7795 2839Job summaryFunctionITSub SectorIT ArchitectureWhat is your area of specialisation?Technology & TelecomsLocationMakatiJob TypePermanentConsultant nameBianca CruzabraConsultant contact+63 2 7795 2839Job ReferenceJN-072025-6786980Work from HomeWork from Home or Hybrid