Senior Lead Technical Product Manager

About the role

You’ll join a growing team of PMs, designers, engineers, and data scientists combining emerging technologies with ADP’s industry leading HCM expertise to develop first-of-their-kind products in payroll, HR, time, benefits, and compliance.

Responsibilities

• Work with multiple teams to clarify responsibilities, anticipate obstacles, and keep priorities moving.
• Represent in cross-team forums and be the go-to for gnarlier x-org, vendor, or integration blockers.
• Scope and pressure-test requirements, incorporating your own primary research, prototypes, or validation experiments as needed.
• Break down vague, multi-path deliverables into testable, deliverable roadmap.
• Build alliances in every direction, mentoring junior PMs or designers, leveling up team practices, and educating and collaborating with stakeholders.
• Work backwards from outcomes. Set objectives up front, ensure the team and the product are set up with analytics and feedback capabilities, and adjust course as evidence emerges.
• Wear many hats: drafting new technical specs for the data model, testing work-in-progress features and integrations, wireframing out rough solutions, investigating partner or internal API specs and SLAs, building business cases, slide-smoothing for upcoming reviews and updates.
• Present and defend priorities and positions with pressure-testing executives and skeptical teams.
• Lead the charge on (external and internal) partner engagement, from technical diligence to execution and change management with Sales, Marketing, Operations, and Service teams.

Requirements

• A Bachelor’s degree or equivalent.
• Strong preference for those with technical training, HCI/HF/CS background, or other analytical and critical thinking background.
• Ideal balance of technical training and deep interest in design and the business models underpinning today’s market-leading digital products.
• 8+ years of firsthand experience defining and delivering digital products with agile teams, discovering and documenting requirements, and embedding with agile scrum teams through execution and go to market.
• Working with data scientists and data engineers identifying, defining, testing, iterating, proving out, and shipping products powered by machine learning and GenAI that solve genuine customer and business problems.
• Comfortable digging into a technical platform driven by events-based architecture and scalable data models, can query a database if needed, and can translate the technical tradeoffs for any audience.
• Writing or contributing to technical specifications for software systems, and can quickly adapt to internal toolkits for documentation.
• Own end-to-end requirements definition, producing functional specifications that enable high-quality engineering execution (in addition to user stories-level definitions).
• Exceptional listener and versatile communicator, naturally building rapport and trust at every level, with everyone you engage with.
• Natural optimist with the conviction that the right mindset and grit can overcome any problem — and a track record that backs it up.
• Successfully, productively integrated GenAI / LLM tooling into professional workflows and are on top of the latest developments with this technology.
• Lead by example. Sought out to mentor, challenge, and level-up PM, UXR, or design peers. Practice and advocate for human-centered design.
• Can debate architecture with engineers, partner on schema/API design, and adapt to new integration models. Architecture diagrams and data models do not give you stress nightmares.
• An excellent, authentic, adaptive, versatile communicator. Articulate the rationale behind a prioritization decision and gain buy-in with stakeholders — sometimes at the expense of their own priorities. Explain technical concepts in a way that resonates with non-technical audiences. Inspire and excite people through the power of your storytelling.
• Operate independently in project mgmt tools like Jira, Confluence, etc for planning, documentation, tracking, and deployments.
• Have end-to-end wins in enterprise corp environments, can point to major products and features in market from kickoff to v1 launches, and can recite the performance metrics you’re proudest of and most embarrassed about from memory.
• Bonus for experience launching products in highly regulated domains e.g. payroll, tax, HR, fintech, healthcare, where compliance, auditability, and risk management were key success factors.

Qualifications

• Experience defining and delivering digital products with agile teams, discovering and documenting requirements, and embedding with agile scrum teams through execution and go to market.
• Experience working with data scientists and data engineers identifying, defining, testing, iterating, proving out, and shipping products powered by machine learning and GenAI that solve genuine customer and business problems.
• Experience writing or contributing to technical specifications for software systems, and adapting to internal toolkits for documentation.
• Experience owning end-to-end requirements definition, producing functional specifications that enable high-quality engineering execution.
• Experience integrating GenAI / LLM tooling into professional workflows and staying updated with the latest developments in this technology.
• Experience leading by example, mentoring, challenging, and leveling-up PM, UXR, or design peers, practicing and advocating for human-centered design.
• Experience debating architecture with engineers, partnering on schema/API design, and adapting to new integration models.
• Experience operating independently in project mgmt tools like Jira, Confluence, etc for planning, documentation, tracking, and deployments.
• Experience launching products in enterprise corp environments, pointing to major products and features in market from kickoff to v1 launches, and reciting performance metrics from memory.
• Experience launching products in highly regulated domains e.g. payroll, tax, HR, fintech, healthcare, where compliance, auditability, and risk management were key success factors.

Skills

• Technical training, HCI/HF/CS background, or other analytical and critical thinking background.
• Experience defining and delivering digital products with agile teams, discovering and documenting requirements, and embedding with agile scrum teams through execution and go to market.
• Experience working with data scientists and data engineers identifying, defining, testing, iterating, proving out, and shipping products powered by machine learning and GenAI that solve genuine customer and business problems.
• Experience writing or contributing to technical specifications for software systems, and adapting to internal toolkits for documentation.
• Experience owning end-to-end requirements definition, producing functional specifications that enable high-quality engineering execution.
• Experience integrating GenAI / LLM tooling into professional workflows and staying updated with the latest developments in this technology.
• Experience leading by example, mentoring, challenging, and leveling-up PM, UXR, or design peers, practicing and advocating for human-centered design.
• Experience debating architecture with engineers, partnering on schema/API design, and adapting to new integration models.
• Experience operating independently in project mgmt tools like Jira, Confluence, etc for planning, documentation, tracking, and deployments.
• Experience launching products in enterprise corp environments, pointing to major products and features in market from kickoff to v1 launches, and reciting performance metrics from memory.
• Experience launching products in highly regulated domains e.g. payroll, tax, HR, fintech, healthcare, where compliance, auditability, and risk management were key success factors.

Benefits

• Medical
• Dental
• Vision
• Life Insurance
• Matched Retirement Savings
• Wellness Program
• Short-and Long-Term Disability
• Charitable Contribution Match
• Holidays
• Personal Days & Vacation
• Paid Volunteer Time Off

Pay

USD $107,400.00 - USD $264,300.00 / Year*

Schedule

Not specified