Data Engineering - Project Manager

As a Technical Project Manager(Data) with 13+ years of overall IT experience and at least 6 years of experience in a similar role, your responsibilities will include: - Owning the end-to-end delivery of data platform, AI, BI, and analytics projects, ensuring alignment with business objectives and stakeholder expectations. - Developing and maintaining comprehensive project plans, roadmaps, and timelines for data ingestion, transformation, governance, AI/ML models, and analytics deliverables. - Leading cross-functional teams including data engineers, data scientists, BI analysts, architects, and business stakeholders to deliver high-quality, scalable solutions on time and within budget. - Defining, prioritizing, and managing product and project backlogs covering data pipelines, data quality, governance, AI services, and BI dashboards or reporting tools. - Collaborating closely with business units to capture and translate requirements into actionable user stories and acceptance criteria for data and analytics solutions. - Overseeing BI and analytics area including dashboard development, embedded analytics, self-service BI enablement, and ad hoc reporting capabilities. - Ensuring data quality, lineage, security, and compliance requirements are integrated throughout the project lifecycle, in collaboration with governance and security teams. - Coordinating UAT, performance testing, and user training to ensure adoption and successful rollout of data and analytics products. - Acting as the primary point of contact for all project stakeholders, providing regular status updates, managing risks and issues, and escalating as necessary. - Facilitating agile ceremonies such as sprint planning, backlog grooming, demos, and retrospectives, fostering a culture of continuous improvement. - Driving post-deployment monitoring and optimization of data and BI solutions to meet evolving business needs and performance standards. Your primary skills should include: - Hands-on development experience in data engineering, including data pipelines, ETL processes, and data integration workflows. - Proven track record managing data engineering, analytics, or AI/ML projects end to end. - Solid understanding of modern data architecture: data lakes, warehouses, pipelines, ETL/ELT, governance, and AI tooling. - Hands-on familiarity with cloud platforms (e.g., Azure, AWS, GCP) and DataOps/MLOps practices. - Strong knowledge of Agile methodologies, sprint planning, and backlog grooming. - Excellent communication and stakeholder management skills, including working with senior execs and technical leads. Your secondary skills may include: - Background in computer science, engineering, data science, or analytics. - Experience or solid understanding with data engineering tools and services in AWS, Azure & GCP. - Exposure or solid understanding of BI, Analytics, LLMs, RAG, prompt engineering, or agent-based AI systems. - Experience leading cross-functional teams in matrixed environments. Certifications such as PMP, CSM, SAFe, or equivalent are a plus. Please note that this role is based in Trivandrum/Kochi, and the close date for applications is 10-10-2025.,