Execution Systems-Eng

Cognizant · IT Consulting & Digital Transformation · IT Outsourcing & Dedicated Teams · 7 days ago

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Location

Hybrid (Pune, India)

Employment

Full-Time

Confirmed on the employer's own hiring board on Oct 29, 2026. First seen by Alion on Oct 22, 2026. Cognizant scores A on the Alion truth index.

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Cognizant

Cognizant is an American information technology services and consulting company founded in 1994 as an in-house technology unit of Dun and Bradstreet in Chennai, India, and headquartered in Teaneck, New Jersey. It builds, integrates and operates software and infrastructure for large enterprises, with particularly deep positions in healthcare, financial services, insurance and life sciences, delivered by a global workforce of more than three hundred thousand people concentrated in India. Listed on Nasdaq, the company competes with the large Indian and global systems integrators and has reoriented its offerings around cloud migration, data platforms and AI-assisted engineering.

cognizant.com · HQ: Teaneck, United States · Cloud Consulting & Migration · Engineering Services · IT Outsourcing & Dedicated Teams · IT Consulting & Digital Transformation · Systems Integrators · 5000+ employees · Est. 1994

Tech stack of Cognizant

Backed by Peak XV Partners

Job Summary

Execute and optimize industrial data historian solutions using AVEVA PI Historian for large scale manufacturing and supply chain environments contributing to reliable data acquisition contextualization and analysis that supports operational excellence. Collaborate in a hybrid work model with cross functional teams to improve plant performance through actionable insights.

Responsibilities

Design and configure AVEVA PI Historian data models that accurately represent manufacturing and supply chain processes to enable high quality data capture and analysis for business stakeholders.

Implement robust data collection interfaces from shop floor control systems and enterprise applications into AVEVA PI Historian ensuring consistent and reliable time series data availability.

Monitor historian infrastructure health by analyzing system performance indicators and proactively addressing bottlenecks to maintain high data integrity and uptime.

Develop calculated tags and data transformations that convert raw process signals into meaningful metrics to support operational reporting and continuous improvement initiatives.

Collaborate with manufacturing and supply chain process experts to translate operational requirements into historian configurations that reflect real world production workflows.

Create and maintain documentation for historian architecture configurations and data flows to ensure smooth knowledge transfer and operational continuity across teams.

Support data consumers by preparing curated data sets and views from AVEVA PI Historian that enable analytics dashboards and reports focused on production efficiency and supply reliability.

Analyze historian data trends to identify anomalies and improvement opportunities providing actionable insights that help reduce downtime and enhance throughput.

Coordinate with IT and operations teams in a hybrid work environment to troubleshoot integration issues between historian systems and upstream or downstream applications.

Ensure compliance with company data governance policies by implementing appropriate access controls and retention rules within the historian environment.

Contribute to standardization of historian implementation practices across sites to improve scalability repeatability and ease of maintenance for global operations.

Participate in day shift support activities by responding to incidents and service requests related to historian functionality while maintaining clear communication with stakeholders.

Continuously explore enhancements in historian features and related tools to recommend improvements that strengthen analytical capabilities and business decision making.

Qualifications

Apply strong experience with AVEVA PI Historian to configure tags interfaces and asset structures that align with complex manufacturing operations.

Utilize familiarity with manufacturing domain processes to interpret equipment behavior and production events when designing and validating historian data models.

Leverage understanding of supply chain flows to structure data that supports inventory visibility production planning and logistics performance analysis.

Demonstrate practical exposure to hybrid work models by collaborating effectively with onsite and remote colleagues using standardized communication and documentation practices.

Exhibit capability to work independently during day shifts managing multiple historian tasks while coordinating efficiently with cross functional teams.

Showcase analytical skills by using historian data to support root cause investigations and continuous improvement projects that impact operational outcomes.

Apply sound knowledge of industrial data integration concepts to ensure historian connectivity with control systems enterprise applications and analytics platforms.

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