Project Manager – Business Intelligence

About Us:

At Calfus, we are known for delivering cutting-edge AI agents and products that transform businesses in ways previously unimaginable. We empower companies to harness the full potential of AI, unlocking opportunities they never imagined possible before the AI era.

Our software engineering teams are highly valued by customers, whether start-ups or established enterprises, because we consistently deliver solutions that drive revenue growth. Our ERP solution teams have successfully implemented cloud solutions and developed tools that seamlessly integrate with ERP systems, reducing manual work so teams can focus on high-impact tasks.None of this would be possible without talent like you!

Our global teams thrive on collaboration, and were actively looking for skilled professionals to strengthen our in-house expertise and help us deliver exceptional AI, software engineering, and solutions using enterprise applications.

As one of the fastest-growing companies in our industry, we take pride in fostering a culture of innovation where new ideas are always welcomedwithout hesitation. We are driven and expect the same dedication from our team members. Our speed, agility, and dedication set us apart, and we perform best when surrounded by high-energy, driven individuals.

To continue our rapid growth and deliver an even greater impact, we invite you to apply for our open positions and become part of our journey!

About the role:

We are looking for an experienced Project Manager Business Intelligence who has grown through the ranks from a hands-on Data Engineer into a leadership role. The ideal candidate brings strong technical depth in data engineering along with proven experience managing BI and data initiatives end-to-end.

You will lead the delivery of Business Intelligence and data platform projects, ensuring seamless execution across data engineering, analytics, and business teams. This role is ideal for someone who deeply understands data pipelines, warehousing, and analytics architectures, and can effectively bridge technical implementation with business objectives.

What Youll Do:

Project Leadership & Delivery

• Lead end-to-end delivery of Business Intelligence and data engineering projects.
• Define project scope, objectives, timelines, and success metrics in collaboration with stakeholders.
• Manage project schedules, budgets, risks, and dependencies proactively.
• Oversee sprint planning, milestone tracking, and delivery governance.
• Monitor project financials, including cost tracking and invoicing.
• Ensure adherence to Calfuss project management and delivery best practices.

Team Coordination & Stakeholder Management

• Translate business requirements into structured technical deliverables in collaboration with data engineers, BI developers, and architects.
• Coordinate cross-functional teams including engineering, analytics, IT, and business stakeholders.
• Manage expectations across clients, leadership teams, and delivery squads.
• Provide regular project updates, risk assessments, and executive-level reporting.
• Mentor and guide technical team members based on prior hands-on experience.

Data & Analytics Focus

• Drive design and implementation of scalable data pipelines and ETL/ELT frameworks.
• Support architecture and implementation of data warehouses and modern Lakehouse solutions.
• Ensure best practices in data modeling (Star & Snowflake schemas), performance optimization, and governance.
• Oversee BI reporting and visualization initiatives using tools such as Power BI and Tableau.
• Ensure data quality, consistency, compliance, and security standards are maintained.

Operational Excellence

• Maintain structured project documentation including plans, RAID logs, financial trackers, and governance dashboards.
• Drive continuous process improvements to enhance delivery efficiency and transparency.
• Ensure alignment with Agile/Scrum methodologies and hybrid delivery models.
• Support risk management, escalation handling, and stakeholder conflict resolution proactively.

On Your First Day, Well Expect You to Have:

• Bachelors or Masters degree in Computer Science, Information Systems, Engineering, or a related field.
• 710 years of overall experience in data and analytics environments.
• 4+ years of hands-on experience as a Data Engineer (ETL/ELT development, data modeling, data warehousing).
• 3+ years of experience managing BI or data platform projects end-to-end.

Strong understanding of:

1. Data warehousing concepts (Star & Snowflake schemas)
2. ETL/ELT tools and pipeline architecture
3. SQL and dimensional data modeling
4. Cloud data platforms (Azure, AWS, or GCP)
5. BI tools (Power BI, Tableau, etc.)

• Experience working in Agile/Scrum delivery environments.
• Excellent stakeholder management, communication, and leadership skills.

Nice to Have:

• Experience with cloud-native data platforms such as Snowflake, Databricks, Redshift, or BigQuery.
• PMP, Scrum Master, or equivalent certification (preferred but not mandatory).
• Experience leading distributed or offshore teams.
• Exposure to data governance, compliance, and security frameworks.

Benefits:

At Calfus, we value our employees and offer a strong benefits package. This includes medical, group, and parental insurance, coupled with gratuity and provident fund options. Further, we support employee wellness and provide birthday leave as a valued benefit.

Calfus is an Equal Opportunity Employer.

We believe diversity drives innovation. Were committed to creating an inclusive workplace where everyoneregardless of background, identity, or experiencehas the opportunity to thrive. We welcome all applicants!