Manager, Engineering

Manager Engineering

Company Profile:

NPS Prismis a market-leading cloud-based SaaS business owned by Bain & Company. NPS Prism provides its customers with actionable insights and analysis that guide the creation of game-changing customer experiences. Based on rock-solid sampling research and analyticmethodology it lets customers see how they compare to their competitors on overall NPS and on every step of the customer journey.

WithNPS Prismyou can see whereyourestrong where you lag and how customers feel about doing business with you and your competitors in their own words. The result: Prioritize the customer interactions that matter most. NPS Prism customers use our customer experience benchmarks and insights to propel their growth and outpace the competition.

Launched in 2019NPS Prismhas rapidly grown to a team of over 200 serving dozens of clients around the Prism is 100% owned by Bain & Company one of the top management consulting firms in the world and a companyconsistently recognizedas one of the worlds best places to work. We believe that diversityinclusionand collaborationiskey to building extraordinary teams. We hire people with exceptional talentsabilitiesand potential then create an environment where you can become the best version of yourself and thrive both professionally and personally.

Position Summary:

We are seeking aManager Engineering to lead a team of engineers responsible for building the platforms and capabilities that support our product and analytics role requires strongpeopleleadership structured execution sound technical judgment andexperience working with modern data platformswiththe versatility to guide engineers across multiple disciplines toward a shared set of outcomes.

The position will work closely with product analytics data science engineering and business stakeholders in a product-platform environment where reliability quality governance and scalability are important to client and business outcomes.

The role is based inGurugram India with aflexibleworking model requiringoccasional office visits.

Key Responsibilities:

• Manage mentor and develop a team of data engineers data scientists and software engineers supporting feedback coaching performance management hiring onboarding and retention.

• Build ateamculture grounded in ownership accountability collaboration technical curiosity and continuous improvement across disciplines.

• Own sprint planning backlog refinement estimation capacity planning and Agile practices to improve focus predictability delivery quality and continuous improvement.

• Coordinate team execution across product priorities platform improvements technical debt operational support and stakeholder commitments.

• Partner with product managers and stakeholders to translate business and product priorities into clear plans milestones and team-level commitments.

• Provide technical oversight across the teams systems and platform components partnering with technical leads architects infrastructure security and platform teams to balance reliability scalability governance compliance cost and production readiness.

• Promote engineering best practices across disciplines and improve the reliability quality observability and operational resilience of production systems.

• Communicate plans risks dependencies trade-offs and recommendations clearly to technical and non-technical stakeholders.

Required Qualifications Experience & Skills:

Educational Qualifications

• Bachelors ormasters degree in Computer Science Engineering Information Systems orrelatedfield.

Experience:

• 8 years of experience in engineeringor a related technical role with strong depth in at leastone ofdata engineering data science or software engineering and the versatility to grow into managing across the others over time.

• 2 years of direct people management experience including managing engineers across different technical disciplines and developing high-performing talent.

• Experience leading engineering teams that build platforms products or systems with an openness to broadening scope over time.

Skills:

• Solid understanding of software architecture data modeling and integration and production systems along with exposure to cloud-based platforms such as Databricks Azure or similar.

• Track recordof leading Agile/Scrum delivery within an engineering team including sprint planning backlog management estimation and continuous improvement.

• Strong planning execution and stakeholder management skills with experience partnering across engineering product and cross-functional business teams.

• Strong communicationskills with the ability to work effectively with technical and non-technical stakeholders across multiple disciplines.

• Good understanding of security privacy compliance and governance practices with a continuous learning mindset and passion for Agile principles and engineering excellence.

Preferred Qualifications

• Familiarity with AI technologies AI-enabled data platforms and their application in data engineering workflows.

• Experience using Agile engineering or delivery metrics toidentifybottlenecks and improve team effectiveness.

• Experience applying security privacy compliance or governance practices.

• Familiarity with Jira Confluence and the broader Atlassian toolset.

• Prior experience managing a team with more than one distinct technical specialty (for example a mix of data engineers data scientists and software engineers).