Manager, Payroll Data Implementation

Restaurant365•Austin, TX

11d•$96,400 - $144,600•Hybrid

About The Position

The Manager, Payroll Data Implementation leads the team responsible for end-to-end payroll data implementation across current and future payroll products sold and supported by Restaurant365. The role oversees Payroll Data Implementation Specialists handling data intake, payroll due diligence, extraction, translation, mapping, transformation, validation, internal parallel payroll reviews, first-payroll readiness, and post-go-live stabilization and handoff. The manager is accountable for data quality, implementation predictability, operating controls, scalable processes, team performance, capacity planning, operational KPIs, and continuous improvement. The manager partners across Payroll Operations, Tax/Compliance, Implementation, Sales, Customer Success, Support, ACH/Payments, Finance, Product, Engineering, Billing, and other functions. The role owns data implementation outcomes and standards while partnering with Tax/Compliance on technical tax determinations, filings, notices, amendments, and jurisdiction-specific requirements. It emphasizes strong people leadership, payroll and implementation expertise, process controls, and automation. This is a hybrid role, with employees expected to work onsite each Tuesday and Wednesday. The expected salary range is $96,400–$144,600 per year; actual compensation may vary based on relevant factors.

Requirements

Proven leadership experience managing implementation, payroll operations, data, or similarly specialized teams, with measurable business outcomes.
Strong hands-on experience with payroll systems, payroll data migration, implementation controls, and data validation; SaaS, multi-tenant, or multi-product experience is preferred.
Working knowledge of payroll tax concepts, including work versus resident state, SUTA, local taxes, and historical tax balances, and how onboarding data affects payroll calculations, tax setup, reporting, filing readiness, and corrections.
Understanding of the boundary between data implementation responsibilities and technical tax filing execution.
Demonstrated ability to define and manage KPIs and service levels, analyze performance and capacity data, and drive continuous improvement.
Advanced project, change, and operating-model management skills, including prioritization, capacity planning, risk management, control design, and cross-stakeholder communication.
Experience with automation and knowledge-management tools such as Power Automate, VBA, macros, workflow platforms, rules-based checks, or AI-enabled tools such as Glean.
Excellent communication and stakeholder-management skills across operational, technical, customer-facing, and executive audiences.
High degree of ownership, judgment, and problem-solving ability in ambiguous or fast-changing environments with complex handoffs and competing priorities.
Eagerness to use AI in daily work and develop team capability, with hands-on experience, understanding of generative AI’s limitations, and judgment to verify outputs.
A track record of building AI skills in others and incorporating AI into team workflows.

Nice To Haves

Experience in a SaaS, multi-tenant, or multi-product environment.
Experience with Power Automate, VBA, macros, workflow platforms, rules-based checks, Glean, or other automation and knowledge-management tools.

Responsibilities

Define and own the vision, strategy, and roadmap for Payroll Data Implementation across R365 payroll products.
Translate business goals into team plans, metrics, and processes, including those for time-to-first-payroll, data accuracy, on-time delivery, defects, stabilization, and tax-impacting data quality.
Establish and refine KPIs and service-level measures; use reporting for demand forecasting, capacity planning, staffing recommendations, prioritization, and work allocation.
Represent Payroll Data Implementation in cross-functional forums.
Hire, lead, coach, and develop Payroll Data Implementation Specialists; plan succession, cross-training, and backup coverage.
Build a culture of quality, accountability, control awareness, and continuous improvement, and establish career paths and development plans.
Oversee end-to-end payroll data implementation, from data gathering and due diligence through validation, parallel payroll reviews, first-payroll readiness, stabilization, and handoff.
Ensure completeness, accuracy, validation, documentation, and disposition of payroll data and configuration within implementation scope.
Define and maintain lifecycle RACI, readiness gates, definitions of done, approval boundaries, and escalation paths across partner teams.
Review and refine SOPs, playbooks, and checklists; serve as the functional escalation point for complex data, configuration, or implementation issues.
Design and enforce data-quality and validation frameworks, including checks, exception reporting, sampling, evidence requirements, and disposition standards.
Partner with Tax/Compliance so onboarding supports accurate tax setup, payroll reporting, and filing readiness, while Tax/Compliance retains ownership of technical tax determinations and execution.
Lead root-cause analysis and implement systemic fixes for recurring data, configuration, payroll, or tax-impacting issues.
Ensure internal parallel payroll and first-payroll readiness reviews have clear documentation, remediation plans, approvals, and sign-offs; monitor post-go-live defects and incorporate lessons into standards.
Identify and implement workflow streamlining and automation opportunities using templates, macros, workflow automation, rules-based checks, and other appropriate tools.
Partner with Product, Engineering, Payroll Operations, and stakeholders on product and tooling enhancements; lead or sponsor operational improvement projects.
Maintain auditable, version-controlled sources of truth for workflows, templates, validation frameworks, controls, and reporting.
Use AI tools, including Glean, and other internal platforms to improve documentation, knowledge discovery, and workflow efficiency; build repeatable approved AI workflows, coach the team, verify output quality, share successful practices, and track gains.
Align data onboarding with downstream operational needs, communicate progress, risks, capacity, dependencies, and outcomes to leadership, and support a seamless client journey across the payroll lifecycle.
Own and refine implementation playbooks, data templates, validation frameworks, readiness criteria, lifecycle maps, RACI documentation, and SOPs.
Capture and share lessons from escalations, defects, tax-impacting data issues, and post-go-live outcomes; champion consistent documentation and version control.