Reflections Info Systems

2 days ago


Kerala, India Reflections Info Systems P LTD Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Description :


We are looking for 13+years experienced candidates for this role.

Mode : Hybrid.

Preferred Location : Cochin/Trivandrum/Chennai.


Primary Skills :

- Overall 13+ Years of Experience in IT with 6+ years of experience as a Technical Product Manager, Technical Program Manager, or Delivery Lead.

- 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., 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.

Responsibilities include :

- Own the end-to-end delivery of data platform, AI, BI, and analytics projects, ensuring alignment with business objectives and stakeholder expectations.

- Develop and maintain comprehensive project plans, roadmaps, and timelines for data ingestion, transformation, governance, AI/ML models, and analytics deliverables.

- Lead 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.

- Define, prioritize, and manage product and project backlogs covering data pipelines, data quality, governance, AI services, and BI dashboards or reporting tools.

- Collaborate closely with business units to capture and translate requirements into actionable user stories and acceptance criteria for data and analytics solutions.

- Oversee BI and analytics area including dashboard development, embedded analytics, self-service BI enablement, and ad hoc reporting capabilities.

- Ensure data quality, lineage, security, and compliance requirements are integrated throughout the project lifecycle, in collaboration with governance and security teams.

- Coordinate UAT, performance testing, and user training to ensure adoption and successful rollout of data and analytics products.

- Act as the primary point of contact for all project stakeholders, providing regular status updates, managing risks and issues, and escalating as necessary.

- Facilitate agile ceremonies such as sprint planning, backlog grooming, demos, and retrospectives, fostering a culture of continuous improvement.

- Drive post-deployment monitoring and optimization of data and BI solutions to meet evolving business needs and performance standards.


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