Senior Technical Solution Manager | AI & Data Platforms

At Provectus, we empower enterprises to unlock transformative value through AI, GenAI, ML and data driven innovation. As a leading AI and data management consulting company, we partner with clients to architect, build, and scale cutting edge solutions leveraging Generative AI, Agentic workflows, and modern data platforms.We seek an exceptional Senior Product Manager who thrives at the intersection of emerging AI technologies and enterprise data transformation. You will lead product strategy and execution for client engagements involving AI, Generative AI, Agentic AI systems, and complex data migration initiatives. The ideal candidate translates ambiguous business challenges into actionable product roadmaps and is comfortable presenting AI architecture decisions to C suite executives.What You Will Do:Drive AI Powered Product InnovationDefine product vision and roadmaps for client solutions leveraging GenAI, LLMs such as GPT 4, Claude, Llama, and Gemini, RAG architectures, and Agentic AI frameworksLead end to end product lifecycle from ideation through launch for AI and ML productsDevelop compelling business cases by analyzing market opportunities and ROI projections for AI implementationsLead Complex Data and Migration InitiativesOversee product strategy for large scale data migration projects across cloud platforms including AWS, Azure, and GCPGuide data product development including ingestion pipelines, transformation layers, governance frameworks, and consumption APIsEnsure data quality, security, compliance, and observability across all deliverablesChampion Agile Delivery ExcellenceFacilitate Agile ceremonies and maintain well groomed backlogs with technical detailed Features and Epic level storiesWork closely with engineering teams to decompose complex features into incremental releases with clear technical dependenciesBalance technical debt management with feature delivery, advocating for architectural improvementsEnable Cross Functional CollaborationPartner with client stakeholders, engineering teams, data architects, and ML engineers to deliver integrated solutionsTranslate technical capabilities into business value narratives tailored for audiences from developers to executive leadershipConduct design thinking workshops and user research sessions to validate product directionRequired Qualifications:Bachelor's degree in Technology or Business related field (Master's preferred)5-7+ years of experience in technical product management, solutions architecture, or software engineering5+ years in product management roles with demonstrated end-to-end product ownership3-5+ years of experience with AI/ML products, Generative AI, or data platform development3-5+ years working in Agile/Scrum environments with strong command of Agile methodologies and ceremoniesDeep understanding of cloud architectures (AWS, Azure, GCP) and modern data stack technologiesTechnical Expertise:AI/GenAI: LLM integration, prompt engineering, RAG architectures, fine-tuning,Agentic AI frameworks (LangChain, LlamaIndex, AutoGen)Data Engineering: ETL/ELT patterns, data modeling, Snowflake, Databricks, dbt, Airflow, Kafka/streaming architecturesCloud Platforms: AWS (SageMaker, Bedrock, Glue), Azure (OpenAI Service, Synapse), GCP (Vertex AI, BigQuery)MLOps: Model deployment, monitoring, versioning, CI/CD for ML, feature stores, experiment trackingData Migration: Assessment methodologies, migration patterns, data validation, cutover strategiesDevelopment Practices: API design, microservices, containerization (Docker, Kubernetes), CI/CD pipelinesCore Competencies:Solution design and technical architecture capabilitiesRequirements translation from business needs to technical specificationsStrong analytical thinking and problem-solving in complex technical domainsExceptional stakeholder management across technical and non-technical audiencesClear technical communication; documenting complex systems and presenting architectural decisionsRisk identification, dependency mapping, and mitigation planningNice To Have:Prior software development or data engineering experience (3+ years)Background in consulting or professional services delivering client solutionsCertifications: AWS Solutions Architect, Azure Data Engineer, GCP Professional Data Engineer, Certified Scrum Product OwnerWhat We Offer:Long-term B2B collaboration;Fully remote setup;A budget for your medical insurance;Paid sick leave, vacation, public holidays;Continuous learning support, including unlimited AWS certification sponsorship.Originally posted on Himalayas