Job Summary

Role- Sr Product Manager
Product Manager – Enterprise Data Team

Core Skills

Experience with data platforms (Databricks, cloud data services, streaming) — can follow architecture discussions (medallion layers, Delta Live Tables, batch vs streaming) and engage meaningfully with engineers without writing code
- Familiar with data quality frameworks, observability tooling, metadata management, and security/access control concepts (RBAC, ABAC, service principals)
- Understanding of analytics workflows and semantic layer concepts — how business users consume data through BI tools, metrics definitions, and governed reporting
- Background in regulated industries with privacy and compliance requirements (HIPAA, GDPR, data retention, audit trails)
- Track record managing internal platform roadmaps where customers are engineering teams and business applications

**Communication & Delivery**

- Thinks on paper — uses diagrams and visual artifacts to drive alignment, then translates them into well-structured JIRA tickets that trace back to documented workflows
- Maintains wikis, runbooks, and onboarding materials that reduce tribal knowledge
- Comfortable challenging business requests to arrive at solutions aligned with data team principles (data as a product, business ownership of definitions, self-service over custom builds)
- Strong at roadmap communication — presenting tradeoffs, sequencing, and “why not yet” conversations to leadership

**Stakeholder Partnership**

- Builds trusted relationships with business partners — earns credibility by consistently delivering on commitments
- Can represent the data organization’s priorities and philosophy independently — an extension of leadership, not a go-between
- Drives business ownership of data definitions, catalog contributions, and metadata — treats governance as shared responsibility
- Advocates for the data organization’s approach with business partners, Security, Privacy, Compliance, and AI/ML teams

**Delivery & Operations**

- Comfortable with agile practices (Kanban, sprint planning, capacity management)
- Experience managing vendor or contractor relationships alongside internal teams
- Able to own dashboards tracking platform adoption, data quality, and delivery metrics

**Strategic Fit**

- Familiarity with data mesh and domain-oriented architecture
- Understanding of how data foundations (quality, lineage, cataloging) enable AI/ML readiness
- Experience supporting organizational transformation or scaling data teams.

Key Responsibilities

1. Conduct comprehensive analysis of current business processes to identify gaps and areas of inefficiency
2. Develop business process models and workflows to optimize operations and enhance productivity
3. Collaborate with cross functional teams to gather requirements and align business processes with organizational goals
4. Lead the implementation of new processes, providing guidance and support to ensure seamless adoption
5. Monitor and evaluate process performance metrics, making adjustments as needed to drive continuous improvement
6. Provide training and support to end-users on new processes and tools
7. Stay informed about industry best practices and emerging trends in business process management

Skill Requirements

1. Proficiency in business process modelling tools such as bpmn, visio, or aris
2. Strong analytical skills with the ability to interpret complex data and identify process improvement opportunities
3. Excellent communication skills to effectively collaborate with diverse stakeholders and team members
4. Project management skills to oversee the end-to-end process implementation
5. Strategic thinking and problem-solving abilities to drive innovative solutions
6. Strong attention to detail and organizational skills to manage multiple projects simultaneously

Other Requirements

1.Business Process Management (BPM) certification is preferred