JDPA LIMITED

Revenue Operations

• Build and maintain renewal and retention reporting: churn cohort analysis, renewal pipeline health, and at-risk account identification, with root-cause analysis on where and why retention breaks down.
• 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 and historical pattern analysis.
• 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 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, and Finance on a defined cadence; maintain clear documentation of report definitions, metric logic, and data sources.
• Support board and executive reporting packages by assembling data, building supporting analyses (churn cohort, win/loss, discounting patterns, segment whitespace, pipeline source), and creating clean exhibits that feed the executive narrative.
• Support annual planning and quota-setting with historical performance data and segment-level analysis; build ad-hoc analyses for Sales, CS, and Finance leadership with fast turnaround and honest assessment of data limitations; proactively bring recommendations for reporting improvements to the Director of Revenue Operations.

Analyst, Revenue Operations

Business Analyst

• Maintain weekly sales pipeline reports
• Track KPI for Dealer Solutions teams
• Aggregate and analyze customer needs and usage data
• Partner with Product Managers to translate findings into roadmap milestones
• Produce reporting and dashboards for leadership

Solutions Analyst, Business Operations, Dealer Solutions

Compliance

• Own administration, maintenance, and optimization of Workday Learning.
• Manage learning assignments, campaigns, engagements, learning paths, events, and learner records.
• Lead enterprise compliance training programs, including onboarding, annual, quarterly, and role-based compliance initiatives.
• Manage compliance reporting, completion tracking, communications, and escalations.
• Develop dashboards and reports to track compliance, onboarding, and learning effectiveness.
• Establish and maintain learning operations processes, documentation, and standards.
• Partner with HR, Legal, IT, and business leaders to support learning initiatives.
• Support learning technology vendors, integrations, and operational issues.

Learning Operations Lead

Product Manager

• 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

Research Scientist

• 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

Client Partner

• 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.

Client Manager, Customer Success

Sales

• 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

Senior Director, FSAAS Sales – Auto Valuation

Financial Planning and Analysis

• 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.

Senior Analyst, Financial Planning & Analysis – FP&A

Analytics Engineer

• 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

Senior Analytics Engineer

• 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.

Senior Analyst, Financial Planning & Analysis

Chief Technology Officer

• 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.

Chief Information Security Officer

Analyst

• Act as a data analyst lead and trusted advisor for one of our clients
• Serve as a subject matter expert on automotive sales, pricing, incentives, and residual values to drive client satisfaction and retention
• Enable business development growth through effective case studies
• Leverage BI tools (Tableau, PowerBI, ThoughtSpot) to analyze industry trends
• Build trusted advisor relationships with key clients
• Generate in-depth analysis explaining changes in the U.S. automotive retail industry
• Lead discussions with J.D. Power users at OEMs and create compelling presentations

Senior Analyst

Machine Learning Engineer

• Experience daily immersion in automotive industry data
• Collaborate with data science and engineering teams to build and maintain model training and forecasting/prediction ETL pipelines with appropriate data mappings, anomaly detection, feature engineering, and data imputation strategies
• Deploy models and ETL pipelines in a reusable framework to generate predictions or forecasts for use in existing and net-new products
• Lead the creation of model and data drift monitoring pipelines and reporting
• Communications of technical topics to both lay and technical business stakeholders, product, and senior data science leadership while requiring minimal feedback for communication documents and presentations
• Leads quarterly planning for major ML deployment projects with minimal supervision

Principal Machine Learning Engineer

Architect

• Own Enterprise Architecture: Consolidate the disparate architectural conventions of acquired entities into a single set of enterprise standards, reference architectures, and playbooks.
• Publish NorthStar Principles: Define, publish, and maintain the NorthStar technical principles—covering front-end frameworks, back-end services, authentication, data platform, and CI/CD—and keep them current as technology evolves.
• Drive Enterprise Technology Decisions: Lead enterprise-level technology choices (e.g., AI tooling, UI stack, CIAM, data platform) with clear rationale, and ensure consistent adoption across all engineering teams.
• Promote shared component libraries, common patterns, and a consistent look, feel, and engineering experience across all JD Power products.
• Lead Enterprise Architecture Team: Build, mentor, and direct a small, high-caliber team of enterprise architects responsible for cross-cutting and enterprise-scope initiatives.
• Lead the Architect Guild: Lead the guild of architects embedded within engineering teams under the SVP of Engineering—setting their charter, raising their capability, and aligning their work to enterprise standards while preserving team autonomy.
• Establish a federated (hybrid) governance model that balances local team ownership of system-level decisions with enterprise consistency on cross-cutting concerns.
• Develop architecture talent, define career paths and expectations for architects across the organization, and grow the bench of senior technical leaders.
• Design and run a two-tier architecture review process: product-specific reviews led by embedded architects, and enterprise-level reviews led by the enterprise architecture team.
• Stand up and lead an architecture council—comprising enterprise, embedded, and TechOps architects—to evaluate initiatives of enterprise scope and resolve cross-cutting design decisions.
• Integrate architecture review into the quarterly planning cadence, with clear triggers, standardized review artifacts, and a documented path for escalation from team-level to enterprise-level review.
• Centralize architecture review artifacts and decisions (e.g., ADRs) so that rationale is transparent, discoverable, and reusable across the organization.
• Partner closely with the SVP of Engineering, the VP of Infrastructure, TechOps, and Security to ensure architecture decisions are practical, secure, and operable.
• Provide executive leadership with clear visibility into key architectural decisions, technical risk, and standards adoption across the engineering organization.
• Influence engineering teams toward sound architecture through clarity, credibility, and collaboration rather than mandate alone.

VP, Architecture

Recruitment

• Own and drive end-to-end full-cycle recruitment (sourcing, screening, interviewing, assessing, offers, background checks, dispositions, etc.) for individual contributor through senior-level roles globally
• Lead structured intake conversations with hiring leaders to define success profiles, challenge assumptions, and align on clear, measurable hiring criteria
• Partner with hiring managers through structured intake sessions to define success profiles, hiring strategy, and interview plans aligned to JD Power’s Values and ways of working
• Drive active and passive sourcing strategies to build proactive talent pipelines for priority and high-demand skill areas as well as future capability needs
• Deliver a consistent, high-quality candidate experience that reflects the “One JD Power” standard
• Manage Workday Recruiting with excellence — maintaining data accuracy, requisition hygiene, and reporting integrity throughout every search
• Advise hiring managers on talent market dynamics, compensation benchmarks, and hiring feasibility to support informed, data-backed decisions
• Coach hiring managers on structured, predictive interviewing techniques; facilitate debrief sessions to drive objective hiring decisions
• Contribute to the evolution of TA processes, tools, and operating model — identifying opportunities for automation, standardization, and continuous improvement
• Participate in workforce planning conversations with Finance and People & Culture Business Partners to anticipate hiring needs ahead of demand
• Deliver timely requisition updates, pipeline metrics, and time-to-fill reporting to stakeholders as part of a data-driven TA function