{"id":1226277,"url":"https://alion.io/job/nobleedge-talent-advisory-client-delivery-manager-data-engineering-analytics","title":"Client Delivery Manager - Data Engineering & Analytics","company":{"id":3800222,"name":"NobleEdge Talent Advisory","domain":"nobleedgetalent.com","url":"https://alion.io/company/nobleedge-talent-advisory","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Solutions","role_family":"Solutions","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":19000,"max_usd":44000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":10},"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"CI/CD","optional":true},{"name":"GCP","optional":true},{"name":"LLM","optional":true},{"name":"Machine Learning","optional":true},{"name":"NLP","optional":true},{"name":"Python","optional":true}],"status":"live","first_seen_at":"2026-09-18T12:10:42Z","employer_posted_date":null,"last_verified_at":"2026-09-18T12:10:42Z","board_verified":false,"closed_at":null,"days_open":28,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":28},"description":"Key Roles & Responsibilities:\n\n- Own end-to-end delivery of software engineering and AI/ML engagements for enterprise clients, from solution design through deployment, monitoring, and support.\n\n- Act as the primary technical point of contact for clients, engaging directly with business stakeholders to understand requirements and convert them into clear technical solutions and delivery plans.\n\n- Lead architecture, design, and code reviews to ensure solutions follow strong software engineering practices, including scalability, security, and maintainability.\n\n- Apply and guide the adoption of AI/ML and GenAI capabilities within client solutions, ensuring sound model design, evaluation, and MLOps practices where applicable.\n\n- Manage project scope, timelines, budgets, and risks across multiple concurrent engagements, proactively escalating issues to leadership and clients as needed.\n\n- Partner with client stakeholders, including business and technology leaders, to identify new opportunities and shape ongoing solution roadmaps.\n\n- Track and report delivery KPIs, and communicate project status, technical decisions, and business outcomes clearly to both technical and non-technical audiences.\n\nRequired Qualifications & Skills:\n\n- Bachelor's degree in Computer Science, Engineering, or a related field from a Tier-I or Tier-II institute; 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