{"id":3916018,"url":"https://alion.io/job/ex-squared-data-ai-engineering-lead","title":"Data & AI Engineering Lead","company":{"id":4468346,"name":"EX Squared","domain":"exsquared.com","url":"https://alion.io/company/exsquared-com","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"BambooHR","truth_index":null},"role":"Management","role_family":"Management","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Colombia"],"countries":["CO"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-11-03T00:00:00Z","employer_posted_date":"2026-11-03","last_verified_at":"2026-11-07T12:18:09Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"At EX Squared LATAM, we are a digital transformation company focused on developing innovative, high-impact technology solutions that create real business value. We work with leading clients across global, regional, and local markets, fostering a collaborative, inclusive, and innovation-driven culture where every team member’s ideas matter.\nWe are looking for a Data & AI Engineering Leadto support a U.S.-based B2B SaaS company developing an AI-powered CRM platform for investment professionals.\nThis position will lead a unified Data Engineering and AI team, providing technical direction, people leadership, delivery ownership, and operational structure. The ideal candidate is a hands-on engineering leader with strong experience in data-intensive systems, backend architecture, and managing engineering teams in a fast-paced product environment.\nThis is not a purely managerial role. The selected professional will remain actively involved in architecture, code reviews, troubleshooting, technical decisions, and direct engineering contributions when needed.\nPosition Details\nEmployment Type:Full-time\nLocation:100% remote within Latin America\nSchedule:Significant overlap with U.S. Eastern Time business hours\nEnglish Level:Advanced English proficiency required (B2+/C1)\nResponsibilities\nLead the technical execution of the unified Data and AI Engineering team, ensuring clear ownership of priorities, delivery commitments, quality, and results.\nEstablish and advance the team’s technical direction by evaluating architecture options, reviewing designs and pull requests, and guiding complex implementation decisions.\nEnsure data-intensive systems meet high standards for data integrity, security, reliability, scalability, and maintainability.\nIdentify and reduce technical debt, recurring defects, architectural risks, and potential security vulnerabilities.\nRemain hands-on through code reviews, troubleshooting, technical design discussions, and direct engineering contributions when appropriate.\nLead, mentor, and support engineers by providing actionable feedback, managing performance, balancing workloads, and promoting professional development.\nAssess team capacity, identify overload risks, and redistribute work to support sustainable delivery.\nTranslate product and business priorities into clear technical workstreams, user stories, actionable tickets, and ownership assignments.\nAssign engineering work based on each team member’s expertise, workload, task complexity, and business priority.\nOwn delivery effectiveness and quality, investigating recurring QA findings and implementing preventive improvements.\nCoordinate closely with AI specialists to understand solution requirements, dependencies, and implementation risks.\nSupport data engineering initiatives involving data processing, transformation, integration, consistency, and the secure handling of customer information.\nCollaborate with Product, Engineering leadership, and other stakeholders to clarify priorities and communicate technical trade-offs.\nCommunicate delivery status, blockers, incidents, changes, and technical risks clearly and proactively.\nRecommend scalable process improvements while avoiding unnecessary bureaucracy.\nPromote a culture of accountability, critical thinking, collaboration, continuous learning, and customer-focused engineering.\nRequirements\nAt least 7-8 years of professional Software Engineering experience, including backend development, distributed systems, or data-intensive applications.\nAt least 3 years of hands-on Data Engineering experience, including data pipelines, ETL/ELT processes, transformations, integrations, and data quality.\nAt least 2-3 years of technical leadership experienceas an Engineering Lead, Technical Lead, Engineering Manager, or similar role.\nProven experience managing or leading engineers, including mentoring, performance feedback, delegation, workload management, and professional development.\nStrong programming experience, preferably with Python, applied to backend development, data processing, or automation.\nAt least 4 years of experience with SQL and relational databases, including data modeling, database design, query optimization, and data integrity.\nStrong experience in software architecture and system design, particularly with scalable backend services, system integrations, and data-intensive applications.\nExperience leading end-to-end engineering delivery, including technical planning, backlog prioritization, task allocation, execution tracking, and quality assurance.\nStrong understanding of software engineering best practices, including code reviews, automated testing, secure development, and technical debt management.\nPractical understanding of AI/ML concepts and AI-powered applications, with the ability to collaborate effectively with specialized AI engineers.\nExperience working with cloud platforms such as AWS, Azure, or Google Cloud Platform.\nFamiliarity with Git, CI/CD pipelines, containerization, and modern development workflows.\nExperience identifying and addressing risks related to reliability, security, data integrity, scalability, and performance.\nAbility to balance hands-on technical work with architecture, people leadership, and delivery responsibilities.\nExperience collaborating with Product Management and cross-functional stakeholders to translate business needs into actionable technical initiatives.\nStrong analytical thinking, problem-solving, decision-making, and organizational skills.\nAdvanced English proficiency, with the ability to lead technical discussions with U.S.-based stakeholders.\nAbility to work independently, manage changing priorities, and take ownership of engineering outcomes.\nTechnical Knowledge\nData models, pipelines, transformations, integrations, validation, consistency, and data quality.\nRelational databases, SQL, data integrity, database performance, and secure handling of customer records.\nAPIs, service-oriented systems, backend architecture, scalability, reliability, and maintainable implementation patterns.\nPull-request reviews, automated testing, secure development, technical debt management, and defect prevention.\nTechnical planning, requirement decomposition, estimation, prioritization, and delivery tracking.\nAI-enabled workflows, AI integrations, and coordination with AI/ML specialists.\nIncident escalation, technical risk communication, quality monitoring, and continuous process improvement.\nHands-on development experience with a modern backend or data engineering language.\nPreferred Qualifications\nExperience working in a growth-stage startup or scaling B2B SaaS company.\nExperience with CRM platforms, investment technology, private equity, financial services, or other data-intensive business applications.\nExperience leading cross-functional initiatives involving Data Engineering and AI/ML teams.\nExposure to production AI-powered features, AI integrations, or applied machine-learning workflows.\nExperience integrating teams or establishing engineering processes during periods of organizational growth.\nExperience with Python-based backend ecosystems and modern cloud environments.\nDemonstrated success improving engineering quality, reducing production defects, strengthening security, or increasing team effectiveness.\nEligibility\nThis opportunity is available to candidates who are currently located and legally able to work remotely from an approved country in Latin America. Candidates must be able to maintain substantial overlap with U.S. Eastern Time business hours.","description_format":"text","description_chars":7538,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"English","level":"Advanced (C1)","optional":false}]},"benefits":["Continuous learning","Equity","Professional development"],"hiring_locations":[{"name":"Argentina","iso":"AR","kind":"region"},{"name":"Brazil","iso":"BR","kind":"region"},{"name":"Colombia","iso":"CO","kind":"region"},{"name":"Mexico","iso":"MX","kind":"region"},{"name":"Anguilla","iso":"AI","kind":"region"},{"name":"Antigua and 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