Data Tech Product Marketing

ADP•Roseland, NJ
•Hybrid

About The Position

ADP is seeking a Director, Product Marketing, to drive marketing strategies and activities for its Data & Technical product marketing function, including API Central and other data integration and interoperability offerings. The role supports awareness, sales enablement, and product adoption, and works horizontally across ADP as part of the Data & Technical Product Marketing team. The Director works with cross-functional partners in Product Management and Development, Marketing, Sales, Service, and Operations to develop and execute go-to-market plans and product launches. The role also collaborates with Market Insights, Competitive Intelligence, and Analyst Relations teams to develop market perspectives and differentiated positioning for ADP’s people analytics and data solutions. It serves as an internal and external subject-matter resource on data analytics products and reports to the Data & Technical Product Marketing leader. The team aims to bring an external perspective to its work, strengthen product focus and strategic launches, and increase demand through a data-driven approach. ADP describes its work as guided by its CORE values: Insightful Expertise, Integrity is Everything, Service Excellence, Inspiring Innovation, Each Person Counts, Results-Driven, and Social Responsibility.

Requirements

  • Bachelor’s degree or equivalent.
  • At least 10 to 12 years of experience in product marketing and related roles.
  • Deep knowledge and experience in technology focused on AI, data platforms, or enterprise Software as a Service products and services.
  • Experience developing narratives, positioning, messaging, and competitive differentiation in a highly dynamic market.
  • Experience working with and empowering sales and enablement teams.
  • Technology product messaging and launch experience with proven results.
  • Ability to solve unique, complex problems with broad business impact through conceptual and innovative thinking.
  • Deep understanding of AI technologies, such as machine learning, generative AI, large language models, and agents, and data ecosystem concepts, such as data governance, architectures, analytics, integrations, and backend infrastructure.
  • Ability to communicate complex ideas, anticipate objections, and persuade others, including senior stakeholders, to adopt a different point of view.
  • Strong technical acumen and ability to quickly become a trusted resource on a sophisticated product.
  • Collaborative approach and ability to work effectively in a fast-paced, energetic, complex environment.
  • Leadership skills to influence across organizational lines, along with strong interpersonal, verbal, written communication, presentation, and process facilitation skills.
  • Personal initiative, results orientation, and integrity.
  • Proven analytical skills and ability to ground decisions in data and analysis.
  • Business acumen and ability to understand clients’ and prospects’ critical needs and demonstrate how ADP capabilities deliver business value.
  • Comfort with ambiguity and ability to succeed in a matrix organizational environment.

Nice To Haves

  • MBA or advanced degree.
  • Knowledge and experience with analytics offerings and Human Capital Management.
  • At least 3 to 5 years of product marketing experience focused on AI, analytics, data integration platforms, or enterprise SaaS products and services.
  • Experience working with large, global businesses.
  • Experience marketing to developers.
  • Strong storytelling and communications skills, including the ability to simplify technical concepts and create compelling customer-value narratives.
  • Experience marketing to technical buyers, such as CIOs and IT leaders, and to HR functions and roles.
  • Demonstrated experience building breakthrough product positioning and go-to-market strategies that drive marketing execution plans.

Responsibilities

  • Support definition of the AI, data integrations, and data narrative by developing clear, differentiated positioning and messaging that translate complex technology and data capabilities into business value.
  • Manage strategic and tactical product marketing activities to drive awareness, sales, and adoption across products and services.
  • Lead complex, high-impact cross-functional projects and align internal partners to advance market opportunities.
  • Support thought-leadership content, strengthen ADP’s position in AI and data, and equip internal subject-matter experts with market insights.
  • Develop comprehensive product marketing plans and coordinate go-to-market strategies for new product launches.
  • Connect Product Management, Business Unit Marketing, and Corporate Marketing to ensure marketing plans, launch plans, and communications are developed and followed.
  • Serve as a non-U.S. go-to-market liaison, coordinating across regions and geographies and aligning stakeholders to accelerate launches and optimize market impact.
  • Anticipate market needs by understanding trends and regulatory issues.
  • Recommend direction and resource allocation for product marketing programs, and work with cross-functional teams to execute them.
  • Explain sophisticated capabilities involving data science, artificial intelligence, and machine learning.
  • Provide an outside-in view of the human capital management category and its buyers, incorporating customer perspectives into deliverables.
  • Use competitive awareness, differentiation, market sizing, and other intelligence to inform strategies and content.
  • Work with Analyst Relations on evaluations and briefings concerning Data Integration and related topics, where applicable.
  • Communicate innovations through product news, milestones, and road map presentations to internal and external audiences.
  • Consult with Brand, Business Unit Marketing, and event teams to incorporate product messaging into external demand-generation programs.
  • Collaborate on product demonstration strategies and messaging, and demonstrate ADP offerings to internal and external audiences.
  • Measure and maintain accurate metrics on product marketing asset utilization and effectiveness.
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