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M&A transaction services · financial due diligence

IN-Senior Manager _Technical Product Owner __ D&A_ Advisory_ Bangalore

IndiaPosted 30 days ago
Software engineeringSeniorFull Time; Regular
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Line of Service AdvisoryIndustry/Sector Not ApplicableSpecialism Data, Analytics & AIManagement Level Senior ManagerJob Description & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems.*Why PWC about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firms growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " Role Overview The Technical Product Owner / Forward Deployed Engineer operates at the intersection of product strategy, technical solution architecture, and GenAI ecosystem, driving the design, deployment, and optimization of AI-powered solutions within Portfolio Services. This role requires fluency in agentic AI orchestration, enterprise-grade system integration, and cloud-native deployment, ensuring solutions are technically robust, scalable, and aligned with client value delivery. Responsibilities Product Strategy & Architecture Define and maintain the technical product roadmap for AI agents, automation pipelines, and orchestration frameworks. Translate business requirements into solution architectures with clear data flows, API contracts, and integration points. Develop user stories and acceptance criteria with explicit technical dependencies and performance benchmarks. Balance short-term MVP delivery with long-term scalability, modularity, and extensibility. Technical Deployment & Engineering Lead end-to-end deployment of AI/GenAI solutions, including containerization, CI/CD pipelines, and cloud-native rollout. Configure and integrate LangGraph, LlamaIndex, Hugging Face models, TensorFlow/PyTorch pipelines into enterprise workflows. Implement data ingestion pipelines, vector databases (e.g., Pinecone, Weaviate), and RAG architectures for production-grade AI agents. Troubleshoot low-level system issues (API failures, latency bottlenecks, memory leaks) and provide root-cause analysis. Build POCs and MVPs with measurable KPIs (latency, throughput, accuracy, adoption). Stakeholder Engagement & Change Management Partners with Transaction Management, Lease Administration, and Consulting teams to map workflows into technical blueprints. Deliver training sessions on AI agent orchestration, prompt engineering, and system integration. Collect post-deployment telemetry (usage logs, error rates, adoption metrics) and iterate solutions accordingly. Communicate architecture decisions, trade-offs, and technical risks to leadership and cross-functional teams. Governance & Quality Assurance Ensure compliance with enterprise security standards, data governance policies, and ethical AI guidelines. Document LLD diagrams, sequence flows, API specifications, and deployment playbooks. Monitor solution performance using observability stacks (Grafana, Prometheus). Implement automated testing frameworks (unit, integration, regression) for AI workflows. Required Qualifications Technical Skills 10+ years in product management, technical solution architecture, AI/ML engineering. Prior experience as Data Scientist or AI/ML developer, with hands-on exposure to automation platforms and enterprise AI deployment. Strong background in solutio .

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IN-Senior Manager _Technical Product Owner __ D&A_ Advisory_ Bangalore at PwC · Padmi