S&P Global

Analyst

• Analyze chemical value-chain market trends
• Collate industry statistics and internal data to provide market insights
• Update supply/demand balances, trade flows, operating schedules, and price forecasts
• Research emerging markets, plants, and technologies
• Model data and support data transformation
• Develop and improve analytical models through modeling and analysis
• Research chemical-industry technology, company information, consumption patterns, and drivers
• Identify new data sources and statistically analyze results
• Support subject-matter experts in developing and maintaining supply/demand balances, trade flows, and price forecasts
• Write industry reports linked to the covered industry value chain
• Author Chemical Economics Handbook reports using market knowledge and internal subject-matter expertise
• Respond to client inquiries and provide expert insight on covered markets
• Prepare client presentations and develop presentation skills
• Collaborate with teams to ensure accurate and timely information and publications
• Respond to client requests for data and analysis

Analyst – Chemicals, Methanol & Derivatives

IT Support

• Support development, maintenance, and governance of enterprise-wide architectures across business, capability, information, technical, and solution domains
• Collaborate with senior executives to define enterprise architecture vision and strategy
• Guide and govern architecture guidance to project teams
• Establish architectural direction for strategic EDO initiatives
• Develop architectural approaches and principles
• Manage large-scale transformation programs
• Provide architectural guidance for initiatives and solution designs
• Ensure alignment with enterprise standards, principles, patterns, and blueprints
• Escalate decisions to EARB as required
• Document, publish, and communicate DAB decisions, rationales, and approved architecture standards
• Identify gaps in architectural assets and enhance architecture frameworks, blueprints, roadmaps, and design patterns
• Conduct quarterly capability matrix reviews
• Support architecture asset owners in developing standards and resolving application challenges
• Engage with the central EA office to drive community engagement, capability roadmaps, and knowledge sharing

Director, Enterprise Architecture

Financial Planning and Analysis

• Develop and execute a comprehensive AI+ strategy for the Finance team aligned with corporate objectives
• Identify and prioritize AI opportunities across Finance processes and create roadmaps with milestones, resources, and timelines
• Guide implementation of automation, robotics, AI/ML, and GenAI technologies
• Lead the design and deployment of AI solutions improving business performance, customer satisfaction, and operational efficiency
• Partner with Finance Technology, Corporate Finance, divisional CFOs, and enterprise AI stakeholders
• Facilitate cross-functional collaboration and stakeholder buy-in for AI+ initiatives
• Translate business needs into AI+ solutions and shape data management strategy
• Conduct stakeholder readiness assessments and evaluate AI capabilities, gaps, and opportunities
• Coordinate with internal technology teams, Corporate Finance, and external vendors
• Explain AI/ML, NLP, and GenAI benefits, limitations, and implementation prerequisites
• Monitor project progress, manage risks, and ensure successful delivery
• Establish KPIs and measure ROI and effectiveness of AI+ initiatives
• Prepare reports for senior leadership on project progress, outcomes, challenges, and optimization areas
• Ensure ethical AI development and deployment addressing bias, fairness, transparency, privacy, and regulatory standards
• Define AI governance mechanisms and review projects for compliance
• Track AI trends, emerging technologies, and regulatory developments
• Represent Finance in internal and external AI forums
• Promote innovation and continuous learning

AI Finance Lead

• Develop and execute a comprehensive AI+ strategy for the Finance team aligned with corporate objectives
• Identify and prioritize AI opportunities across Finance processes and create roadmaps with milestones, resources, and timelines
• Guide implementation of automation, robotics, AI/ML, and GenAI technologies
• Lead the design and deployment of AI solutions that improve business performance, customer satisfaction, and operational efficiency
• Partner with Finance Technology, Corporate Finance, divisional CFOs, and enterprise AI stakeholders
• Facilitate cross-functional collaboration and stakeholder buy-in for AI+ initiatives
• Translate business needs into AI+ solutions and shape data management strategies
• Conduct readiness assessments and evaluate AI capabilities, gaps, and improvement opportunities
• Coordinate with internal technology teams, Finance, and external vendors
• Explain AI/ML, NLP, and GenAI benefits, limitations, and implementation prerequisites
• Monitor project progress, manage risks, and ensure successful delivery
• Establish KPIs and measure ROI and effectiveness of AI+ initiatives
• Prepare reports for senior leadership on project progress and outcomes
• Ensure ethical AI practices addressing bias, fairness, transparency, privacy, and regulatory compliance
• Lead AI governance mechanisms and review projects against ethical guidelines
• Track industry trends, emerging technologies, and regulatory developments
• Represent Finance in AI forums and promote innovation and continuous learning

AI, Finance Lead

• Manage end-to-end operational execution of sales compensation programs
• Calculate commissions, bonuses, and other incentive payouts accurately and on time
• Administer and track quota and crediting processes
• Maintain compensation data and resolve crediting inquiries using SFDC and compensation management tools
• Build, maintain, and optimize data models, incentive calculators, and financial reports using Excel and Power BI
• Forecast sales compensation expenses, accruals, and payouts
• Provide variance analysis against budget and prior periods
• Review commission calculations and payout processes for accuracy, compliance, and financial controls
• Analyze sales results, attainment distributions, and payout patterns to identify trends, risks, and opportunities
• Drive process improvements and standardization in sales compensation operations
• Prepare reporting and presentations for management
• Partner with Sales, Sales Operations, and Finance leadership

Senior Finance Analyst, Sales Compensation – Energy

• Manage the financial oversight and analysis of sales compensation programs for SPGE
• Partner with business leaders to design, refine, and evaluate sales incentive plans
• Develop and maintain commission models, incentive calculators, and payout frameworks
• Support quota setting and territory planning with financial analysis, scenario modeling, and performance insights
• Forecast sales compensation expense, accruals, and payouts; provide variance analysis
• Analyze sales performance and compensation outcomes, including cost of sales, pay-for-performance alignment, and return on incentive investment
• Document and control compensation plans, policies, calculations, and payout processes
• Partner with Sales Operations, People Partners, and Finance teams to ensure consistent administration
• Review commission calculations and payout processes for accuracy, timeliness, and compliance
• Identify trends, risks, and opportunities through analysis of sales results, attainment distributions, payout patterns, and compensation metrics
• Prepare reporting and presentations for senior leadership
• Lead or support annual compensation planning cycles, including plan design reviews, modeling, budgeting, and implementation
• Drive process improvements, reporting enhancements, and standardization for sales compensation operations
• Support audits, compliance requirements, and policy reviews related to incentive compensation programs

Finance Manager, Sales Compensation – Energy

• Own global sales compensation operations and ensure accuracy, governance, and financial integrity of commission payments
• Build and execute scenario modeling and stress-testing frameworks to forecast total plan spend and assess plan changes
• Generate and refine global payout estimates and compensation decision models for budget alignment
• Analyze plan effectiveness metrics and partner with Sales leadership on plan optimization and annual target-setting
• Lead final validation and control oversight for global commission payroll processing, including final review and sign-off
• Evaluate and authorize large payments, non-standard payouts, custom executive incentives, and high-value commission exceptions
• Review and approve withholding, recovery, non-recoverable draw, guarantee, and clawback protocols
• Sign off on monthly Audit and SOX controls and maintain audit-ready internal financial controls
• Perform risk evaluations related to cancellations, retroactive adjustments, clawbacks, overrides, and data integrity or security
• Conduct variance analyses, automated sanity testing, and spot-checks for commission calculation accuracy
• Partner with Legal and People Partners to resolve sensitive compensation disputes and high-value grievances
• Review and approve calculation overrides, custom exception requests, and commission structures tied to reductions in force
• Explain complex commission formulas, crediting rules, and payout outcomes to sales representatives, managers, and senior leaders
• Collaborate with Sales, Finance, Payroll, Legal, People Partners, and Compliance teams

Finance Associate Director, Sales Compensation MI – Intelligence & Execution

Engineer

• Lead planning and execution of Program Increments across one or more Agile Release Trains
• Drive PI Planning readiness with Product Management, Business Owners, and Technology leadership
• Facilitate PI Planning, ART Sync, Scrum of Scrums, System Demos, and Inspect & Adapt sessions
• Support release-on-demand planning for prioritized epics and features
• Manage cross-team and cross-ART dependencies, risks, and impediments
• Coach and develop Scrum Masters and Flow Masters
• Champion Lean-Agile, SAFe, Kanban, and continuous improvement practices
• Facilitate feature and capability estimation and apply Agile and flow metrics
• Use AI-enabled insights to improve forecasting, capacity planning, bottleneck visibility, and risk management
• Serve as a change agent across complex stakeholder groups
• Drive continuous improvement using program metrics, delivery health indicators, and team maturity insights
• Embed Responsible AI practices across value streams
• Capture decisions, action items, delivery insights, and program knowledge using AI-enabled knowledge management