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Reimagining what's possible for food and agriculture
The Role
The Senior Developer in Process Intelligence prepares business information, builds data solutions, and collaborates on analytics and process improvements to enhance business outcomes.
Summary Generated by Built In
Job Purpose and Impact
The Senior Professional, Business Process Management job establishes, communicates and provides guidance that drives adoption and governance of business process management frameworks and methodologies across the organization. With minimal supervision, this job collaborates with various partners to ensure the effective implementation of business process management practices across the organization. This job monitors business process management standards and recommends improvement options.
The Process Intelligence Senior Developer prepares business‑relevant information and leads technical efforts to deliver intelligent process insights through advanced analytics, process mining, and data‑driven solutions. This role ensures teams have the data, process maps, and metrics needed to generate timely, accurate, and actionable insights by strengthening core capabilities in data management, data engineering, and decision‑support applications. The Senior Developer builds pre‑transformed data assets and designs scalable backend and front‑end solutions to support reporting, visualization, and advanced analytics, while partnering closely with data engineering teams on complex platform and infrastructure initiatives. The role evaluates and implements new process mining features that drive sustained process change at Cargill and plays a key role in advancing end‑to‑end process excellence through optimized solutions, a strong process culture, and consistent execution. Acting as a bridge between business needs and technical teams, this role delivers information products that identify, drive, and sustain process improvements. This position is based in Bangalore.
Key Accountabilities
Qualifications
The Senior Professional, Business Process Management job establishes, communicates and provides guidance that drives adoption and governance of business process management frameworks and methodologies across the organization. With minimal supervision, this job collaborates with various partners to ensure the effective implementation of business process management practices across the organization. This job monitors business process management standards and recommends improvement options.
The Process Intelligence Senior Developer prepares business‑relevant information and leads technical efforts to deliver intelligent process insights through advanced analytics, process mining, and data‑driven solutions. This role ensures teams have the data, process maps, and metrics needed to generate timely, accurate, and actionable insights by strengthening core capabilities in data management, data engineering, and decision‑support applications. The Senior Developer builds pre‑transformed data assets and designs scalable backend and front‑end solutions to support reporting, visualization, and advanced analytics, while partnering closely with data engineering teams on complex platform and infrastructure initiatives. The role evaluates and implements new process mining features that drive sustained process change at Cargill and plays a key role in advancing end‑to‑end process excellence through optimized solutions, a strong process culture, and consistent execution. Acting as a bridge between business needs and technical teams, this role delivers information products that identify, drive, and sustain process improvements. This position is based in Bangalore.
Key Accountabilities
- INTELLIGENT PROCESS INSIGHTS: Build pre‑transformed data assets and perform data extraction, transformation, and preparation to deliver actionable insights for reporting and advanced analytics needs.
- ADVANCED TECHNOLOGY INTEGRATION: Model, design, develop, test, and implement complex backend and front‑end solutions to enable business‑ready visualizations, reporting, and advanced analytics.
- PROCESS MINING: Develop predictive analytics and what‑if simulation algorithms to drive forward‑looking process insights, collaborating with data engineering teams on complex infrastructure and platform solutions.
- EXPAND INTELLIGENCE CAPABILTIES: Configure future‑state processes and build conformance and data models that expand intelligence capabilities for process lifecycle adherence, while proactively monitoring ETL pipelines and data accuracy and delivering data enhancements (e.g., new fields and mapping tables) to strengthen analytical insights.
- STAKEHOLDER ENGAGEMENT & PROCESS COMMUNITY: Stewards business process management standards across the organization and partners to drive disciplined business process management. Participates as an active member of the process community, sharing knowledge, building relationships across teams, and supporting other initiatives and projects.
Qualifications
- Minimum requirement of 4 years of relevant work experience. Typically reflects 5 years or more of relevant experience.
- Preferred qualification: Lean Six Sigma training and Black Belt attainment.
- Confirmed skills of enabling data content for reporting or analytics solutions
- Confirmed skills in querying relational databases with query language (ex. SQL)
- Confirmed experience working with large data stores
Skills Required
- Minimum 4 years of relevant work experience
- Lean Six Sigma training and Black Belt attainment
- Skills in enabling data content for reporting or analytics solutions
- Skills in querying relational databases with SQL
- Experience working with large data stores
What the Team is Saying
Gaby
Data Engineering Lead
Landon
North America Service Assurance Manager
Navita
Software Engineering Senior Supervisor
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William Orgertrice
Data Engineer
Kayode D.
Principal Data Engineer
Patricia
Supply Chain Learning & Development and Digital Support Lead
Heather W.
Software Engineer
Kristen K.
Factory of the Future Digital Product Manager
Shrey B.
Senior Software Engineer
Madhuri P.
Senior Data Scientist
William Orgertrice
Data Engineer — Data Function, Platforms and Product Engineering
Navita S.
Software Engineering Senior Supervisor
Heather W.
Software Engineer
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Cargill Compensation & Benefits Highlights
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Retirement Support — Feedback suggests the 401(k) with immediate eligibility, a clear company match paid quarterly in company stock, and employer-funded retirement components (e.g., ESOP/ERA) offer strong long-term savings value. Vesting timelines are defined, supporting predictable planning.
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Leave & Time Off Breadth — Feedback suggests PTO scales from 15 to 30 days with service and follows a clear June 1–May 31 plan year. Standard holidays and floating days further expand time away options.
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Parental & Family Support — Feedback suggests up to 6 weeks paid bonding leave and 4 weeks for family care, adoption/surrogacy reimbursement up to $10,000, and resources like Bright Horizons and Milk Stork provide meaningful support for families. Eligibility on a 12‑month cadence with FMLA‑style requirements increases practical usability.
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The Company
What We Do
We are a family company providing food, ingredients, agricultural solutions and industrial products to nourish the world in a safe, responsible and sustainable way. We connect farmers with markets so they can prosper. We connect customers with ingredients so they can make meals people love. And we connect families with daily essentials— from eggs to edible oils, salt to skincare, feed to flooring. By providing customers with products that are vital for living, we help businesses grow, communities prosper and consumers live well in their daily lives.
Why Work With Us
The decision to join Cargill can open the door to a world of possibility. As part of our Digital, Technology & Data team, you’ll get to be part of a large and diverse group full of unique perspectives united by a common, higher purpose while building a rewarding career full of opportunity, growth and the satisfaction of knowing your work matters.
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Cargill Teams
Cargill Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Typical time on-site:
Not Specified
