The Financial Training & ERP Specialist is an important member of KPFF's Finance and Shared Services team, supporting the daily administration, reliability, and continued development of BST, KPFF's enterprise resource planning system.
Compensation
The base salary for this role is competitive and will be determined based on the candidate's experience, education, and skills. The expected range for a qualified candidate is $90,000-$110,000.
Responsibilities
Serve as a primary point of contact for ERP questions, service requests, and system issues, following each item through resolution or appropriate escalation.
Troubleshoot systems and user access issues by identifying root causes, evaluating options, and implementing practical solutions.
Maintain and update user accounts, security roles, permissions, and related system access in accordance with company practices.
Support day-to-day system administration, configuration, data maintenance, and other recurring activities required for reliable BST operations.
Coordinate with internal partners and BST contacts when an issue requires additional technical assistance.
Translating complex patient support program requirements into scalable technology solutions to enhance patient access, engagement, and healthcare outcomes within the Life Sciences sector.
Compensation
The annual salary for this position ranges from $83,000 to $93,500, depending on experience and qualifications. This role is also eligible for Cognizant’s discretionary annual incentive program, subject to performance and applicable plan terms.
Responsibilities
Partner with business stakeholders to gather, analyze, and document functional and non-functional requirements for patient support and access programs.
Drive business process optimization across patient services operations, including benefits verification, prior authorization, co-pay assistance, patient onboarding, and adherence programs.
Collaborate with architects, developers, and quality assurance teams to design and implement patient services solutions leveraging platforms such as Salesforce Health Cloud and Veeva.
Analyze and support data integrations across patient hubs, specialty pharmacies, third-party logistics providers, manufacturers, and related healthcare ecosystems while ensuring compliance with privacy requirements.
Support Agile delivery activities, including user story creation, backlog management, sprint planning, user acceptance testing, and stakeholder engagement.
Requirements
Bachelor's degree in Life Sciences
Information Technology
Business Administration
Oficial de Monitoreo, Evaluación y Aprendizaje - Popayán, Cauca
El Oficial MEL brindará soporte técnico y operativo en la implementación, seguimiento y fortalecimiento de los sistemas y procesos de Monitoreo, Evaluación y Aprendizaje de los programas del portafolio de tierras en la regional Cauca.
Develop and own the tele-operated motion performance of robotic surgical instruments, ensuring motion fidelity and safety through rigorous technical analysis and collaboration across clinical, mechanical, and manufacturing teams.
Compensation
We provide market-competitive compensation packages, inclusive of base pay, incentives, benefits, and equity. It would not be typical for someone to be hired at the top end of range for the role, as actual pay will be determined based on several factors, including experience, skills, and qualifications. The target compensation ranges are listed.
Responsibilities
Develop and own the tele-operated motion performance of robotic surgical instruments
Work closely with clinical development team to understand performance requirements
Work closely with mechanical design team to optimize mechanism for motion fidelity
Use analysis and experimentation to develop deep understanding of instrument mechanism behavior
Modify and tune algorithms to optimize motion fidelity and ensure consistent performance in clinical environment
Requirements
PhD in robotics-related field
MS in robotics-related field
Nice to have: Knowledge of Python
Nice to have: Basic SQL
Nice to have: Knowledge of statistics and probabilistic reasoning
Support data science and analytics initiatives across Global Operations, minimizing supply chain risk and optimizing manufacturing operations.
Compensation
We provide market-competitive compensation packages, inclusive of base pay, incentives, benefits, and equity. It would not be typical for someone to be hired at the top end of range for the role, as actual pay will be determined based on several factors, including experience, skills, and qualifications. The target compensation ranges are listed.
Responsibilities
Support data science and analytics initiatives across Global Operations under the guidance of senior team members
Help translate well-defined business questions into analytical approaches with support from senior Data Scientists
Apply statistical methods and machine learning techniques to company data to generate insights
Build and maintain reports, dashboards, and data products using the R and/or Python ecosystem
Work with Snowflake and SQL to source, transform, and analyze datasets
Requirements
Minimum Quantitative Bachelor’s degree (Statistics, Computer Science, Math, Data Science or Similar) or equivalent professional experience
Nice to have: Advanced degree in Statistics, Computer Science, Math, Data Science or Similar
Forward Deployed Engineer responsible for deploying and prototyping AI-powered asset management solutions across customer environments, driving value and product adoption.
Compensation
Salary Range: $145,000 to $180,000 USD annually + bonus
Responsibilities
Work alongside Solutions Consultants and Account Executives on strategic accounts
Own discovery, technical scoping, architecture, implementation, evaluation, productionization, adoption, and handoff for strategic customer solutions
Build the data foundations for a large-scale migration. You'll design and operate repeatable pipelines that move varied source data into a single platform, taking ownership of data processing from ingestion to delivery.
Responsibilities
Build repeatable processes to receive, unpack, validate and ingest data from multiple sources
Transform source extracts into consistent structures for migration to a single platform
Develop maintainable ingestion and transformation code using SQL, Python, PySpark and dbt
Implement automated checks that establish completeness and accuracy throughout the migration
Monitor, diagnose and recover failed or incomplete data processing
Help shape the success of a complex data migration by investigating data quality, preparing source data and validating that what moves is complete and faithful.
Responsibilities
Investigate unfamiliar datasets to understand their structure, content, relationships and variation across organisations.
Identify and explain data quality issues, trace them to source records, mappings or transformations, and quantify their impact on migration.
Design repeatable comparisons and reconciliation checks to validate that migrated data is complete, consistent and faithful.
Write reusable SQL and Python scripts for profiling, exception detection and validation, using Azure Databricks, Git and dbt where relevant.
Communicate findings clearly to technical and non-technical audiences, using Excel and Power BI or Tableau to present evidence and track issues.
Build the data foundations for a large-scale migration. You'll design and operate repeatable pipelines that move varied source data into a single platform, taking ownership of data processing from ingestion to delivery.
Responsibilities
Work as part of a migration team, collaborating with the data lead, analysts, the platform team and source organisations throughout the delivery.
Build repeatable processes to receive, unpack, validate and ingest data from multiple sources.
Transform source extracts into consistent structures for migration to a single platform.
Develop maintainable ingestion and transformation code using SQL, Python, PySpark and dbt.
Implement automated checks that establish completeness and accuracy throughout the migration.
Senior Business AnalystNewCognizant · Mettawa, US