Job Description & How to Apply Below
Axis Max Life Insurance Limited is one of India’s leading private life insurance companies. The company offers comprehensive life insurance, long‑term savings, protection, and retirement solutions through a multi‑channel distribution network. It is recognized for its strong customer‑centric approach, high claims‑paid ratio and robust financial performance.
About the Function
Business Intelligence and Insights Group (BIIG) focuses on building a strong data‑driven ecosystem by providing accurate insights at the right time and on the right platforms. It enables faster, informed decision‑making through innovation, automation, and streamlined information delivery.
Role:
Project Manager (PMO) – Data Products
Role Overview
Axis Max Life’s Business Intelligence & Insights Group is seeking an experienced Project Manager to lead strategic data initiatives and drive delivery of enterprise-grade analytics solutions. This role sits at the intersection of project governance, data product management, stakeholder leadership, and BI solutioning, with a strong emphasis on Power BI, data platform modernization, and product lifecycle management.
The ideal candidate brings a blend of project management maturity, hands-on BI experience, process governance, and data product thinking—ensuring that analytics solutions are scalable, valuable, and aligned to organizational priorities.
Key Responsibilities
1. Project & Program Management
- Own end-to-end project delivery across multiple BI and analytics work streams.
- Develop detailed project plans, charters, communication plans, and governance dashboards.
- Lead cross-functional ceremonies including steering committees, sprint reviews, and stakeholder governance forums.
- Maintain oversight on project scope, timelines, budgets, resources, procurement (if applicable), and vendor management.
- Ensure alignment to PMO frameworks, compliance, and organizational governance standards.
- Drive proactive risk identification, mitigation planning, and timely escalations.
2. Data Product Management
- Define, prioritize, and manage the roadmap for analytical and data products, ensuring alignment with business KPIs.
- Translate complex business requirements into structured product features, user stories, and acceptance criteria.
- Manage the full product lifecycle—from discovery, design, and development through deployment and adoption.
- Conduct user research, stakeholder interviews, usability assessments, and value realization analysis.
- Champion data product standardization, self-service enablement, and continuous improvement.
3. Business Intelligence & Power BI Delivery
- Oversee end-to-end delivery of dashboards, data models, and BI solutions on Power BI and Microsoft ecosystem.
- Govern semantic modeling, DAX standards, and data visualization best practices.
- Ensure performance optimization, security (including RLS), workspace governance, and adherence to enterprise BI architecture.
- Collaborate closely with data engineering teams on source data, pipelines, and data quality management.
- Monitor refresh cycles, capacity utilization, and release management processes.
4. Stakeholder Management & Leadership
- Serve as the primary liaison between business, technology teams, and leadership for BI and data product initiatives.
- Align analytics outcomes with strategic business objectives and data-driven decision-making.
- Manage expectations, influence senior stakeholders, and communicate progress through executive-ready reporting.
- Lead cross-functional teams (BI developers, analysts, data engineers, QA) to deliver high-quality outcomes.
5. PMO Governance & Reporting
- Prepare status reports, executive updates, dashboards, and delivery health metrics.
- Standardize documentation including BRDs, FRDs, UAT plans, SOPs, and post-implementation reviews.
- Maintain auditable documentation as per internal PMO and regulatory requirements.
- Conduct quality assurance reviews and ensure adherence to project governance frameworks.
Required Skills & Experience
- 3-5 years of total experience, with minimum 3 years in Project Management and exposure to enterprise BI/data projects.
- Proven experience…
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