{"id":1320664,"url":"https://alion.io/job/yo-ai-labs-technical-consultant","title":"Technical Consultant","company":{"id":3824455,"name":"YO AI Labs","domain":"yoailabs.com","url":"https://alion.io/company/yoailabs","size_band":"5000+","is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Manatal","truth_index":null},"role":"Solutions","role_family":"Solutions","seniority":"staff","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":184000,"max_usd":350000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":611},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon Kinesis","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"CI/CD","optional":false},{"name":"Data Vault","optional":false},{"name":"Databricks","optional":false},{"name":"DynamoDB","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-09-26T21:13:20Z","employer_posted_date":"2026-09-26","last_verified_at":"2026-10-05T23:12:58Z","board_verified":true,"closed_at":null,"days_open":9,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":9},"description":"Role Name : Technical Consultant, Pharma (Business Translator)\nLocation : New York, USA\nExperience: 10 -15 Years\nRole Overview: The Technical Consultant role is responsible for end-to-end client management, program management, business growth, and client success by ensuring solutions are scalable, secure, cost-efficient, and aligned with modern data engineering, analytics, and AI/ML best practices. The consultant will partner with engineering teams, data product owners, and business stakeholders to establish architectural standards, design cloud-native data platforms, and guide technical execution across complex programs.\nRoles and Responsibilities:\nDrive senior client workshops, problem framing, and solution framing\nLead end-to-end client advisory, opportunity creation, and demand generation\nEngage with business and technical teams to align architecture with business requirements\nSupport RFP and RFI responses and architectural evaluations \nExperience with Life Sciences datasets, migration, and modernization\nUnderstanding of operational layers L1, L2, and L3, along with ontology and context layers\nDefine and enforce data modeling, metadata, lineage, and quality standards\nImplement CI/CD pipelines and monitoring frameworks\nEnsure architectures support observability, reliability, and operational excellence\nArchitect end-to-end solutions on AWS and Databricks\nDefine architectural standards, patterns, and best practices\nReview and guide solution designs for scalability, performance, and security\nEvaluate technology options and recommend long-term architectural strategies\nTranslate business and analytical requirements into scalable data models\nAssess current-state data architectures and define future-state models\nDesign scalable data models for analytical and operational workloads\nDemonstrate strong understanding of metadata, lineage, data quality, and governance frameworks\nBe familiar with distributed compute paradigms and cloud-native modeling patterns\nRequired Qualifications:\nAt least 10+ years of experience in AI, software development, data engineering, or data architecture along with \n5+ years of Life Sciences consulting experience\nExperience driving modernization initiatives for AI products with AI foundations, governance, operational layers, and context layers\nStrong experience with Databricks, DBT Core or Cloud, Python, Spark, SQL, distributed compute paradigms including in-memory, distributed, and MPP architectures, and Data Vault 2.0 including automate_dvDeep knowledge of AWS services including S3, Glue, Redshift, EMR, DynamoDB, Lambda, Athena, and Kinesis\nExperience leading architecture across multi-team onsite and offshore delivery models\nExecutive presence to lead VP and Executive Director-level meetings and steering committees independently\nAbility to drive thought leadership, technical visioning, workshops, and client success initiatives\nLife Sciences experience preferred\nAbility to translate complex analytical requirements into scalable architectures including data models, ETL pipelines, and consumption layers\nExperience designing and deploying dashboards and self-service analytics on relational and non-relational databases\nStrong understanding of CI/CD, DevOps, static code analysis, and test-driven development\nExperience with cloud migration patterns and modern data platform design\nExperience defining data standards, metadata models, lineage, quality rules, and governance patterns\nExperience implementing logging, monitoring, observability, and cost optimization frameworks\nExperience driving enterprise data platform adoption and modern data practices","description_format":"text","description_chars":3627,"description_truncated":false,"requirements":{"experience_years_min":10,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Biotechnology","LLM & Generative AI","Reinforcement Learning"],"lifecycle":[{"event":"open","at":"2026-09-26T21:13:20Z"}],"visa":[],"liveness":{"score":50,"band":"ok","label":"Likely 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