JDPA LIMITED

• Analyze and interpret results of survey research studies • Provide technical programming expertise working with Python, SQL, and other automation tools • Collaborate with researchers and scientists to execute programs for advanced statistical modeling • Work on data mining and analysis on survey and non-survey data • Strengthen project and data design skills through collaboration with senior research staff

• Own the end-to-end product lifecycle from discovery through delivery and optimization • Lead product discovery efforts, including customer interviews, market analysis, and validation of new opportunities • Define and execute a product roadmap aligned to business goals and market needs • Translate customer and market insights into clear product requirements and user stories • Drive execution by working closely with Engineering, Data Science, and UX teams

• Provide accurate, empathetic, and solution-oriented support to dealership users across applications, data, integrations, and services • Diagnose issues, guide users through complex workflows, and manage expectations in fast-paced dealer environments • Serve as the first point of contact for customer inquiries related to usability, configuration, data, and software behavior • Diagnose, troubleshoot, and resolve issues across automotive data and workflow platforms, escalating when appropriate • Communicate clearly and empathetically to explain solutions, system behavior, and next steps • Document cases thoroughly and accurately in CRM and ticketing systems • Adhere to defined workflows, SLAs, and escalation processes to ensure consistent, reliable support • Collaborate with Product, Engineering, Data, and Sales teams to resolve issues and surface recurring defects • Contribute to knowledge base content, playbooks, and continuous process improvements

• Apply advanced AI and analytics techniques to solve complex data challenges within the automotive industry. • Analyze and interpret large, complex datasets to identify trends, insights, and opportunities. • Develop predictive models to diagnose potential vehicle faults and underlying causes. • Partner with engineering and cross-functional teams to inform vehicle design and manufacturing improvements. • Translate complex data into clear, actionable insights that support business and client decision-making. • Create and deliver detailed reports, dashboards, and presentations for stakeholders, including senior leadership. • Serve as a trusted advisor to OEM clients, ensuring effective use of data and analytics to drive business outcomes. • Build and maintain strong client relationships, proactively identifying opportunities to support sales, marketing, and product strategies. • Act as a subject matter expert in automotive quality, warranty reduction, and competitive benchmarking. • Lead client onboarding, training, and ongoing engagement to maximize value from analytics solutions. • Continuously enhance analytics approaches by leveraging emerging tools, technologies, and methodologies.

• Lead budgeting, planning, forecasting, reporting, and financial performance management processes for key areas across the Product, Technology & Analytics organization. • Create and enhance financial models, KPI dashboards, reporting tools, and planning frameworks that improve executive visibility and enable data-driven product investment decisions. • Use BI tools (Tableau, Power BI, or similar), SQL, and financial systems to design and deliver accurate, scalable reporting on technology and product spend, investment performance, and key business drivers. • Develop insights and recommendations for product and engineering leaders on budget performance, variance drivers, forecast risks and opportunities, investment trade-offs, and cost-optimization opportunities across technology investments and vendor spend. • Lead the development of monthly and quarterly executive and board-level materials, translating complex financial and operational data into clear narratives for senior technology and product leadership. • Drive cross-functional planning with product managers, data scientists, and engineers to align roadmap planning, investment priorities, and resource allocation decisions. • Identify, develop, and implement process improvements and automation opportunities, including use of AI tools and data automation to increase forecast accuracy, planning efficiency, and executive visibility. • Lead ad hoc financial analyses and special projects for the FP&A leadership, CFO, and product and technology leadership, including framing the business question, building the analysis, and communicating actionable recommendations.

• Lead budgeting, planning, forecasting, reporting, and financial performance management processes for key areas across the COO and CFO organizations. • Create and enhance financial models, KPI dashboards, reporting tools, and planning frameworks that improve executive visibility and enable data-driven decisions. • Use BI tools (Tableau, Power BI, or similar), Excel, and financial systems to design and deliver accurate, scalable reporting on operating expense, headcount, vendor spend, investment performance, and key business drivers. • Develop insights and recommendations for Finance and business leaders on budget performance, variance drivers, forecast risks and opportunities, investment trade-offs, and cost-optimization opportunities. • Lead the development of monthly and quarterly executive and board-level materials, translating complex financial and operational data into clear narratives for senior COO, CFO, and business leadership. • Drive cross-functional planning with Finance, HR, Business Operations, Procurement, and functional leaders to align headcount planning, operating cadence, investment priorities, and resource allocation decisions. • Identify, develop, and implement process improvements and automation opportunities, including use of AI tools and data automation to increase forecast accuracy, planning efficiency, and executive visibility. • Lead ad hoc financial analyses and special projects for FP&A leadership, the CFO, COO, and senior business leaders, including framing the business question, building the analysis, and communicating actionable recommendations.

• Build and maintain the forecast accuracy tracking model — capturing submitted forecast vs. actual closed-won by segment, product, rep cohort, and period — producing regular accuracy reports with root-cause analysis and historical pattern analysis to identify where accuracy breaks down and what deal-level signals are most predictive of close. • Build and maintain the forecasting input quality dashboard: tracking forecast submission completeness, required field adherence, and category distribution (commit / upside / pipeline) by segment and rep. • Support the KPI reporting deliverables for the CS Operations function, including Product Penetration, Market Basket, Customer 360, and At-Risk reporting — ensuring data accuracy, consistent metric definitions, and on-time delivery. • Build and maintain health score distribution reporting and CSM productivity metrics — tracking health score trends, coverage gaps, and the correlation between health score signals and renewal outcomes. • Build and maintain sales productivity reporting: quota attainment by segment and rep tenure, ramp curves, win rates by segment and deal size, average sales cycle, average contract value, and pipeline-to-close conversion by stage. • Support capacity and coverage model maintenance — providing headcount, ramp, and productivity data inputs that the Director of Revenue Operations uses for AOP planning and in-year reforecasting. • Partner with RevOps systems and data teams to identify and escalate data quality issues, broken CRM workflows, and reporting discrepancies; support data reconciliation between Salesforce, CS platforms, BI tools, and Finance on a defined cadence; and maintain clear documentation of report definitions, metric logic, data sources, and refresh cadences to ensure every number is auditable. • Support board and executive reporting packages by assembling data, building supporting analyses (win/loss, discounting patterns, churn cohort, segment whitespace, pipeline source), and creating clean exhibits that feed the executive narrative. • Support annual planning and quota-setting by providing historical performance data, productivity benchmarks, and segment-level analysis to inform capacity model assumptions; build ad-hoc analyses for Sales, CS, and Finance leadership with fast turnaround, documented methodology, and honest assessment of data limitations; and proactively bring recommendations for reporting improvements and new metric frameworks to the Director of Revenue Operations.

• The Senior Director, FSAAS Sales is a senior individual contributor responsible for driving new business bookings and expanding strategic customer relationships within the FSAAS business. • This role leads complex, consultative sales engagements and positions JD Power’s full portfolio of data, analytics, and advisory solutions with senior client stakeholders. • Prospecting and New Business Bookings • Account Growth • Bookings & Pipeline Management • Cross-Functional Engagement & Market Insight • Metrics & Measures of Success

• Design, build, and optimize complex Power BI semantic models, advanced DAX measures, and executive-grade dashboards • Develop and tune dbt models and SQL transformations against Snowflake and other modern cloud data platforms • Own end-to-end data pipelines that consolidate CRM, ERP, product, and financial data into trusted, reusable layers • Diagnose and resolve performance, accuracy, and usability issues in existing reporting independently • Establish and enforce semantic modeling patterns, KPI definitions, naming conventions, and code review practices • Mentor mid-level and junior analytics team members through pairing, review, and documentation • Partner with the Director to shape the analytics architecture and reduce technical debt over time • Champion governance and data quality controls without slowing the team down • Work directly with RevOps and FP&A stakeholders to define metrics, forecasting views, and performance frameworks • Translate evolving requirements into intuitive, high-quality visualizations leaders trust and use • Present findings clearly to technical and non-technical audiences alike

• Define and own the global cyber security strategy, aligned to business objectives and risk appetite. • Provide senior-level leadership and act as a trusted advisor to the CTO, Operating Team, Board Cybersecurity Committee, and senior leaders. • Lead global planning, budgeting, capability development, and vendor strategy for all security domains. • Promote a strong security culture across all regions, embedding secure behaviors and accountability. • Lead the design, implementation, operation, and continuous improvement of the Information Security Management System (ISMS). • Oversee global risk management, including risk assessments, control selection, and enterprise risk reporting. • Ensure compliance with global cyber security regulations and industry standards. • Lead the development and maintenance of global security policies, standards, and guidelines. • Oversee third-party and supply-chain security, including vendor assessments and due diligence. • Lead global Security Operations (SecOps), including monitoring, detection, threat intelligence, and vulnerability management. • Establish and mature global CSIRT/CSOC capabilities, ensuring 24/7 coverage where required. • Act as executive incident commander for major cyber events, ensuring effective response, communication, and recovery. • Define and oversee secure architecture, cloud security standards, and identity & access management (IAM). • Embed security into the software development lifecycle (SDLC), including secure coding, DevSecOps, and product security reviews. • Partner with Engineering and Technology teams to ensure secure design, encryption, and access controls across all platforms. • Act as the senior representative for cyber security with regulators, auditors, customers, and partners. • Oversee responses to customer and partner security assessments and due-diligence requests. • Monitor global regulatory developments and translate them into actionable controls and programs. • Lead and develop global teams across security operations, governance, risk, compliance, and resilience. • Build organizational capability, succession planning, and specialist talent pipelines. • Foster a collaborative, high-performance culture across regions and functions.