Data Solutions & Delivery Manager

Our site in Pune, India is seeking a Manager of Data Solutions & Delivery to lead the end-to-end delivery of data products that drive business value across the enterprise. This role combines leadership, technical expertise, and a strategic mindset to drive the architecture, design, development of data and analytics solutions, and maintenance of high-performance data pipelines, data processing systems, and data analytics platforms. The ideal candidate combines technical fluency with strategic thinking and excels at cross-functional collaboration to unlock the full value of our data ecosystem.

In this role, you will oversee the engineering teams that build and support scalable data systems, enabling data-driven decision-making across the organization. You will mentor and guide engineers, while working cross-functionally with stakeholders in data architecture, data science, product, and business teams.

What You’ll Do:

Data Product Delivery and architecture
- Define and maintain AI ready data architectures that align with the enterprise data, AI and digital transformation goals
- Define and evolve the AI data product delivery strategy
- Lead the execution of data product initiatives, ensuring on-time and high-quality delivery across multiple business units.
- Oversee the lifecycle of data products—from ideation and prototyping to deployment and iteration.
Team Leadership:
- Lead, mentor, and develop a team of data engineers and software engineers.
- Foster a culture of collaboration, continuous learning, and innovation within the team.
- Establish clear performance goals, provide feedback, and conduct performance reviews.
Project Management:
- Oversee the planning, design, and implementation of complex data engineering projects.
- Define project scopes, deliverables, and timelines; ensure that deadlines are met.
- Work with Product, Data Science, and other engineering teams to align priorities and integrate data initiatives into the larger business roadmap.
Technical Leadership:
- Set best practices for software development, coding standards, and AI ready data engineering processes.
- Lead architectural discussions and decision-making related to AI, data infrastructure, storage, and processing.
- Ensure the reliability, scalability, and performance of data systems.
- Drive the adoption of new technologies and tools to improve the data engineering stack, specifically utilizing AI, and increase the efficiency of the team.
Stakeholder Collaboration:
- Work closely with cross-functional teams (e.g., data scientists, AI architects and engineers, analysts, business intelligence) to understand data requirements and develop data solutions.
- Serve as a technical liaison between engineering and business teams, ensuring clear communication and alignment.
- Translate business needs into technical solutions and vice versa.
Continuous Improvement:
- Promote a culture of continuous improvement in engineering practices, automation, and testing.
- Identify opportunities for process optimization, reduced technical debt, and improved system performance.
Stay up to date on industry trends, emerging technologies, and best practices.

What We Seek:

Required Qualifications

8+ years of experience in data product delivery, data engineering, software engineering, or related fields.
3+ years of experience in a leadership or management role.
Excellent communication and stakeholder management skills.
Experience with Agile/Scrum methodologies and product lifecycle management.
Strong understanding of data architecture, pipelines, and analytics platforms.
Strong expertise in cloud platforms (GCP preferred; AWS or Azure also considered).
Deep knowledge of data modeling, governance, and security principles.

Preferred Qualifications

Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.
Experience in semiconductor, manufacturing, or high-tech industries.
Familiarity with tools like Power BI, SAP BW, Google BigQuery, and Salesforce Data Cloud.
Exposure to AI/ML-driven data products and customer-facing analytics platforms.
Strong communication and collaboration skills in a global, remote-first environment.

Outstanding Candidates Will Have:

Expertise in data engineering, data modeling, and data architecture.
Experience with AI and machine learning technologies and frameworks.
Excellent problem-solving skills and the ability to work in a fast-paced environment.
Strong communication and collaboration skills that fit a global work culture with remote teams

What We Offer:

At Entegris, we invest in providing opportunity to our employees and promote from within. The new hire in this role will have the potential to grow and create relationships across the organization and be recognized for demonstrated success and adherence to company PACE values.

Our total rewards package goes above and beyond just a paycheck. Whether you’re looking to build your career, improve your health, or protect your wealth, we offer generous benefits to help you achieve your goals.

Excellent health, dental and vision insurance packages to fit your needs
Flexible work schedule
Paid time off (PTO) policy that empowers you to take the time you need to recharge
Education assistance to support your learning journey
Values-driven culture with colleagues that rally around People, Accountability, Creativity, and Excellence

At Entegris we are committed to providing equal opportunity to all employees and applicants. Our policy is to recruit, hire, train, and reward employees for their individual abilities, achievements and experience without regard to race, color, religion, sexual orientation, age, national origin, disability, marital or military status. Entegris strongly encourages all of its employees to be vaccinated against COVID-19. At Entegris, COVID-19 vaccination is preferred but not required at this time.

GoAsia Talent is proud to partner with Entegris in building their growing team in Pune, India. We invite you to explore all the available opportunities at Entegris and take the next step in your career.

Data Engineering & Operations Manager