Jobs at Dynata

Supports leadership of a custom recruiting operations team sourcing niche B2B survey respondents. Responsibilities include coaching team leads and agents, managing performance and quality, supporting hiring and training, balancing workloads, coordinating with project teams, improving recruiting processes, addressing escalations, mitigating risks, and providing leadership coverage. Requires experience in recruiting or operational leadership, people management, B2B respondent recruitment, data-driven decision-making, and fast-paced team operations.

Owns market research projects from commissioning through invoicing, managing clients, stakeholders, vendors, budgets, timelines, quality, and project delivery. Supports sales growth, resolves issues, communicates updates, mentors junior staff, and leads complex projects across multiple research methodologies. Requires at least four years of quantitative online and digital market research experience, including survey design, sampling, and client consultation.

Improves Custom Recruiting operations by analyzing workflows, identifying inefficiencies, implementing automation and technology solutions, and developing databases, dashboards, and reporting tools. Partners with leadership and cross-functional teams to translate business needs into scalable processes, improve data quality and productivity, support tool testing and adoption, and serve as a subject matter expert on recruiting workflows and operational best practices.

Supports general and corporate accounting through month-end close, reconciliations, journal entries, financial reporting, variance analysis, internal controls, audits, and ad hoc automation or system implementation projects. Partners with management to review financial statements, identify discrepancies, reduce costs, and improve profitability. Requires strong analytical, organizational, communication, and problem-solving skills.

Executive product leader responsible for Dynata+ platform strategy, roadmap, customer and developer experience, APIs, integrations, platform adoption, product-led growth, pricing, monetization, and enterprise alignment. The role will establish a unified self-service interface across Dynata business units, launch API and agent access, expand scripting, analytics, and visualization capabilities, and improve activation, conversion, retention, and revenue metrics. This leader partners closely with engineering, sales, marketing, customer success, and finance.

Lead global month-end, quarter-end, and year-end close activities; review accounting entries and reconciliations; supervise and develop accounting staff; coordinate internal and external audits; ensure US GAAP, internal control, and SOX compliance; partner with finance teams; and drive process improvements, automation, acquisitions, integrations, and other finance initiatives.

Performs monthly general ledger close activities, including journal entries, reconciliations, accruals, intercompany accounting, and financial reporting. Supports annual and statutory audits, prepares tax returns and income tax reports, responds to financial information requests, assists local accountants with system entries, and contributes to ad hoc financial projects. Requires corporate accounting experience, multi-currency accounting knowledge, familiarity with financial systems, strong Excel skills, and knowledge of accounting and tax laws.

Provides in-house labor and employment counsel, advises Human Resources and business stakeholders, ensures legal compliance, manages outside employment counsel, and supports litigation, labor relations, benefits, and employment policies. Drafts and negotiates commercial customer agreements involving services, data, and information technology. Develops customer-focused legal solutions, contributes to functional strategy, solves complex business problems, and operates independently in a demanding environment.

Manages client relationships and supports account growth by qualifying RFPs, writing proposals, developing pricing, coordinating bids, supporting project delivery, and contributing to sales presentations. Partners with Account and Sales Directors to expand revenue, upsell services, manage expectations, and maintain CRM records. Requires at least one year of relevant sales or customer service experience, strong communication skills, Microsoft Office proficiency, and travel as needed.

Designs, builds, and maintains scalable batch and streaming data pipelines, lakehouse medallion architectures, transformation layers, and data models. Develops PySpark and SQL solutions, integrates diverse data sources, implements data quality monitoring, and manages infrastructure as code. Troubleshoots pipeline and data incidents, participates in code reviews, collaborates with architects, and mentors junior and mid-level engineers.

Leads enterprise semantic layer, data, and AI platform architecture. Defines lakehouse, medallion, data model, data contract, metadata, schema governance, feature store, model lifecycle, and interoperability standards. Partners with product, engineering, platform, and data science teams to create secure, reusable foundations for analytics, machine learning, and AI applications. Translates business and governance requirements into scalable technical architectures and provides thought leadership across enterprise data and AI enablement.

Leads graph analytics, identity resolution, forecasting, and predictive modeling initiatives for operational, commercial, and product decisions. Designs scalable graph data models, production-ready machine learning solutions, and time-series forecasts. Establishes validation, monitoring, governance, and experimentation practices while partnering with product, engineering, and platform teams. Translates complex analytical findings into business recommendations and provides technical leadership across graph science, forecasting, optimization, and decision-support capabilities.

Design and implement enterprise data quality frameworks for lakehouse platforms. Build automated validation tests, dashboards, anomaly detection, observability solutions, and CI/CD quality checks. Manage data quality SLAs, profile new sources, resolve incidents, collaborate with governance and source owners, and educate engineering and product teams on quality standards.

Leads information security, data privacy, and regulatory compliance for an enterprise data lakehouse platform. Defines access controls, encryption, classification, and security frameworks; manages risk assessments, threat modeling, vulnerability testing, audits, incident response, and remediation. Partners with engineering teams to embed controls into CI/CD and data workflows, maintains compliance evidence, and trains teams on secure data handling.

Partner with APAC business units and sales to produce monthly revenue and P&L reporting, lead budgeting and forecasting, build financial models and presentations, validate new systems (CRM/D365), identify cost savings and risks, support audits and controls, and provide strategic financial insight to senior stakeholders.

Perform data validation, delivery, and tabulation for low-complexity projects. Interpret client requirements, organize and shape data to internal standards, produce outputs, and escalate issues to managers as needed.