• Turn backlog of AI use cases into scalable, production-ready solutions • Standardize efforts, drive measurable business impact, and elevate data science best practices across the team and enterprise • Represent AI platform capabilities to neighbor groups, translating complex ideas and needs into clear value for both non-technical and technical stakeholders • Develop, analyze, and model operational, program, marketing, or other organizational data to analyze the competitive performance of Compassion's business segments • Develop innovative strategies, quantify the competitive performance of the organization's operations and/or markets • Perform exploratory data analysis to understand relationships, opportunities to influence outcomes and how to attribute cross-channel outcomes • Further develop proofs of concept to verify ideas and close the loop to make sure that the proposed solution is performing as it should and is correctly understood by clients • Translate complex analytical and technical concepts for non-technical team members to enable understanding and drive informed business decisions and AI adoption.

• Work closely with Product teams to define and evolve data-driven features • Develop analyses and Machine Learning models applied to product use cases (e.g., recommendation, personalization, churn) • Design and run experiments and A/B tests to validate hypotheses and measure product impact • Define and monitor product metrics and model performance • Support roadmap decisions with actionable insights • Ensure integration, monitoring, and continuous improvement of models in production

CTG's long-standing Fortune 500 client of over 15 years has a W2 contract assignment for a Data Readiness Lead, ERP Transformation. Type: ContractJob Title: Data Readiness Lead, ERP TransformationLocation: Remote - Candidates local to Corning, NY preferred, however, candidates in all US locations may be considered for remote work. Candidates must be willing to support EST hours.Pay Rate: $52.46 - $101.01/hourWork Hours: M-F 8am-5pmEducation: Bachelor’s Degree with technical discipline or equivalent experience Role Summary:The Data Readiness Lead ensures that data migrated into SAP S/4HANA is accurate, compliant, and business-ready at go-live. This role is critical to reducing data risk, preventing post-go-live disruption, and ensuring measurable confidence in enterprise data quality across ERP transformation initiatives. This is a hands-on execution role embedded within ERP project teams, partnering closely with business data owners, data migration teams, and project leadership to drive data readiness, governance, and quality outcomes. Key Responsibilities:• Lead data cleansing activities with business data owners to ensure migration readiness• Define, measure, and report data quality metrics across project lifecycle• Ensure enterprise data standards are applied during design, mapping, and migration processes• Track and resolve data defects, issues, and remediation actions across load cycles• Manage data approvals, sign-offs, and compliance documentation• Partner with ERP project leadership to assess and communicate data readiness status• Identify, escalate, and mitigate data risks impacting go-live readiness• Support stakeholder education and transparency around data quality and readiness• Recommend improvements to data readiness frameworks and governance practices Required Qualifications:• 5–7+ years of experience in Data Quality, IT, or Data Migration roles• Strong experience with data cleansing, validation, and quality measurement practices• Excellent communication and stakeholder management skills across technical and business teams• Ability to manage multiple priorities in a fast-paced transformation environment• Strong analytical thinking with ability to apply judgment in ambiguous situations• High sense of urgency and self-driven execution mindset Preferred Qualifications:• Experience in large-scale ERP transformation programs• Strong hands-on experience with SAP S/4HANA data migration and related interfaces• Experience operating independently in complex enterprise environments• Strong presentation skills with ability to communicate to leadership audiences• Project management exposure in transformation or data initiatives• Highly organized with strong attention to detail Contract Role Characteristics:• Independent contractor role with no direct reports• Execution-focused role aligned to project governance and standards• Provides recommendations, risk visibility, and status reporting to leadership• No enterprise policy or decision-making authority Performance Expectations:• Zero data-related audit findings tied to migration deliverables• No unexpected post-go-live data defects impacting operations• Reduced data defect rates across successive load cycles• Clear visibility into data quality and readiness throughout lifecycle• Minimal disruption to project timelines due to data issues Additional Information• No third party resumes will be accepted• Drug testing and/or other employment-related inquiries may be conducted• CTG will consider for employment-qualified applicants with criminal histories in a manner consistent with applicable laws• All interested individuals MUST be able to work on a W2 Tax basis (no C2C or third party vendors)• CTG is an Equal Employment Opportunity employer• CTG is an E-Verify Company To be considered for this opportunity, please apply directly through our website by clicking the link below or email your Word version resume and salary expectations to Rebecca.Olan@ctg.com. About CTG CTG, a Cegeka company, delivers IT and business solutions that enhance clients’ digital agility, empowering them to seize new opportunities and overcome any challenge. Backed by more than 60 years’ experience and a commitment to being a reliable, results-driven partner, we work shoulder to shoulder with clients to shape digital together. Our vision is to be an indispensable partner to our clients and the preferred career destination for digital and technology experts. With more than 9,000 team members in over 15 countries, we combine global expertise with local insight to deliver innovative solutions. We operate across the Americas, Europe, and India, working with over 3,000 clients in many of today's highest-growth industries. Together, we shape what’s next—working shoulder to shoulder to deliver impactful solutions for our clients and society. Our culture is built by the people who work at CTG, the values we hold, and the actions we take. It's a living, breathing thing that is renewed every day through the ways we engage with each other, our clients, and our communities. At CTG, you’ll find a workplace where you are encouraged to grow, supported in your ambitions, and empowered to shape your own career journey. For more information, visit www.ctg.com. CTG will consider for employment all qualified applicants including those with criminal histories in a manner consistent with the requirements of all applicable local, state, and federal laws. CTG is an Equal Opportunity Employer. CTG will assure equal opportunity and consideration to all applicants and employees in recruitment, selection, placement, training, benefits, compensation, promotion, transfer, and release of individuals without regard to race, creed, religion, color, national origin, sex, sexual orientation, gender identity and gender expression, age, disability, marital or veteran status, citizenship status, or any other discriminatory factors as required by law. CTG is fully committed to promoting employment opportunities for members of protected classes.

• Lead the analysis of large, complex datasets to uncover strategic insights that drive product innovation and business growth. • Lead the design, development, validation, and refinement of advanced predictive models and AI-driven solutions—including machine learning and natural language processing (NLP) techniques—to optimize every step of the customer journeys, improve demand/supply forecasting, deliver personalized recommendations, and achieve high customer satisfaction. • Collaborate cross-functionally with product, marketing, and customer experience teams to identify data-driven opportunities for conversion optimization, retention, and engagement improvements. • Design, implement, and interpret A/B tests and multi-variant experiments to evaluate and optimize product and operational initiatives. • Develop and maintain dashboards and automated reporting tools to support data-driven decision-making, partnering with data engineering on scalable data infrastructure. • Collaborate closely with data engineering teams to ensure data quality and consistency for accurate analysis and modeling. • Communicate complex technical insights effectively to both technical teams and executive stakeholders. • Provide training on utilizing data analysis and reports and foster the growth of a data-centric culture across the organization.