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

Job description

**Line of Service** Advisory **Industry/Sector** Not Applicable **Specialism** Data, Analytics \& AI **Management Level** Senior Manager **Job 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++At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more ++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 firm's 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 **solution architecture for GenAI systems** , including **multi-agent orchestration** . * Hands-on expertise with **PyTorch, TensorFlow, LangGraph, LlamaIndex, Hugging Face** . * Proficiency in **Python, JavaScript, or equivalent programming languages** . * Deep understanding of **APIs, microservices, system integrations, and event-driven data workflows** . * Cloud-native experience with **AWS, Azure, or GCP** , including **IAM, Kubernetes, and serverless architectures** . **Business \& Domain Knowledge** * Understanding of **commercial real estate operations** (Transaction Management, Lease Administration). * Ability to **map complex workflows into automation opportunities** . * Strong grasp of **change management principles** and enterprise adoption strategies. **Core Competencies** * Ability to **engage technical and non-technical audiences** with architecture-first clarity. * Hands-on **problem-solving mindset** with deep technical troubleshooting. * Comfort in **ambiguous, high-scale environments** with evolving A