Ready to build the future with AI
At Genpact we dont just keep up with technologywe set the pace. AI and digital innovation are redefining industries and were leading the charge. Genpacts AI Gigafactory our industry-first accelerator is an example of how were scaling advanced technology solutions to help global enterprises work smarter grow faster and transform at scale. From large-scale models to agentic AI our breakthrough solutions tackle companies most complex challenges.
If you thrive in a fast-moving innovation-driven environment love building and deploying cutting-edge AI solutions and want to push the boundaries of whats possible this is your moment.
Genpact (NYSE: G) is anadvanced technology services and solutions company that deliverslastingvalue for leading ourdeep business knowledge operational excellence and cutting-edge solutions we help companies across industries get ahead and stay by curiosity courage and innovationour teamsimplementdata technology and AItocreate tomorrow to know us onLinkedInXYouTube andFacebook.
Inviting applications for the role of Principal Consultant Manager Data & Insights
Seeking a Technical Project Manager who can lead Business Intelligence Data Engineering and Data Visualization teams bringing a strong blend of technical expertise and robust project management capability.
Responsibilities
Project Management Skills (50% Focus)
Proven track record in leading cross-functional teams through full project lifecycles using Agile/Scrum methodologies to deliver BI and reporting projects on time and within budget.
Expertise in project planning tools like Jira Asana or Microsoft Project including roadmap creation resource allocation and risk management.
Strong stakeholder management with experience translating business requirements into technical specs and communicating progress via dashboards or reports.
Proficiency in defining KPIs SLAs and success metrics for BI projects with hands-on budgeting and vendor coordination.
Ability to mentor junior PMs and foster collaboration between engineering data science and business teams.
Technical Skills - Data Engineering (25% Focus)
Hands-on experience building and optimizing ETL/ELT pipelines using tools like Apache Airflow dbt or AWS Glue for scalable data processing.
Proficiency in SQL (advanced querying optimization) and Python (Pandas PySpark) for data transformation ingestion from sources like APIs/databases and ensuring data quality/governance.
Familiarity with cloud data platforms such as AWS (Redshift S3) GCP (BigQuery) or Azure Synapse for warehousing and orchestration.
Experience implementing data pipelines with CI/CD practices and monitoring tools like Datadog or Prometheus.
Technical Skills - Data Visualization & BI (25% Focus)
Advanced proficiency in BI tools like Tableau Power BI or Looker for creating interactive dashboards reports and self-service analytics.
Skill in designing data models (star/snowflake schemas) and DAX/MDX for performant visualizations that support business decision-making.
Hands-on integration of visualization tools with data sources including embedding dashboards in web apps or automating report distribution.
Qualifications we seek in you!
Minimum Qualifications
Bachelors/Masters in Computer Science Data Science or related field
Experience in BI/PM roles with data engineering.
Excellent problem-solving under ambiguity with a product mindset for prioritizing features based on business impact.
Preferred Qualifications/ Skills
Project Management:
Strong Agile/Scrum delivery planning risk management and stakeholder communication
Ability to translate business requirements into technical specifications
Skilled in executive reporting and managing multiteam programs
Collaboration with engineering analytics QA and business partners
Experience managing onshore/offshore teams and vendors
Roadmap creation ROI analysis and ability to assess data models/solutions
Excellent communication problem-solving ownership and comfort with ambiguity
Technical Contribution:
Understanding of data warehousing KPIs metrics and reporting frameworks
Familiarity with BI tools (Power BI Tableau etc.) and semantic modeling
Knowledge of ETL/ELT data pipelines data quality and cloud data platforms (Azure Snowflake Databricks)
Hands-on SQL Git familiarity
Basic technical familiarity with Python and data architecture concepts
Understanding of dashboard design UX best practices and data storytelling
Awareness of modeling concepts like DAX/MDX
DevOps exposure awareness of AI/ML concepts
Why join Genpact
Lead AI-first transformation Build and scale AI solutions that redefine industries
Make an impact Drive change for global enterprises and solve business challenges that matter
Accelerate your careerGain hands-on experience world-class training mentorship and AI certifications to advance your skills
Grow with the best Learn from top engineers data scientists and AI experts in a dynamic fast-moving workplace
Committed to ethical AI Work in an environment where governance transparency and security are at the core of everything we build
Thrive in a values-driven culture Our courage curiosity and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress
Come join the 140000 coders tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up.
Lets build tomorrow together.
Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race color religion or belief sex age national origin citizenship status marital status military/veteran status genetic information sexual orientation gender identity physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity customer focus and innovation.
Furthermore please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a starter kit paying to apply or purchasing equipment or training.
Required Experience:
Manager
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