ADP is hiring a Senior Technical Project Manager, Advanced Analytics for the newly formed HR Outsourcing (HRO) Analytics organization. The Senior Technical Project Manager, Advanced Analytics is responsible for leading project management, delivery and execution for advanced analytics teams within HRO Analytics. You will partner with the business, analytics team members and other cross-functional teams to problem solve, develop and deliver analytics outputs. This role will have no direct reports, but will lead a cross-functional technical team. This will be a highly collaborative position with significant opportunity to work closely with leaders. The Senior Technical Project Manager, Advanced Analytics will report to the Head of HRO Analytics Strategic Pod Ops.

What are we looking for?

An analytics and program management professional with a passion and track record for leveraging insights and data and analytics to unlock transformational growth. Someone with intellectual curiosity who wakes up excited to work with a team towards excellence and partner with leaders to align on business outcomes. Someone with a passion for understanding business needs and leveraging agile principles and ways of working to deliver analytical solutions. The ideal candidate is business-minded, customer-centric, team-oriented, self-motivated, a strategic thinker and results-driven.

WHAT YOU'LL DO:

Key Responsibilities:

• Understand business needs, strategic objectives, processes, how data and analytics are used, and the link between data and analytics strategy and business strategy
• Shapes the team vision / roadmap and steers the team in delivering data and analytics solutions oriented around business impact
• Develops project schedules, as well as facilitates release planning, sprints planning, and demos with stakeholders
• Prioritizes backlog; uses business expertise and understanding of analytics needs to translate requirements into acceptance criteria
• Acts as bridge between executives and team members by serving as the primary point of contact for project stakeholders from project inception through completion. Regularly reports status to stakeholders and ensures delivery according to schedule and budget
• Plans resourcing for the team (i.e., new role, change in role), creates requests, and onboards members that join the pod
• Demonstrates understanding of Acceptance Test Driven development, DevOps principles (e.g., automation, CI/CD), data/system integration needs, and connections with adjacent products/services
• Demonstrates understanding of non-functional product requirements (e.g., engineering, architecture, security, and access control)
• Demonstrates understanding of solution technical capability needs (e.g., resilience, scalability, performance, reliability)
• Ensures the data analytics solution meets relevant security, privacy, and compliance standards
• Drives selection of solution options, works with data stewards, data engineers, data scientists, and analytics translators to arrive at the best solutions, balancing business needs and technical feasibility
• Drives reporting and analytics to provide visibility on team performance and team satisfaction, as well as monitors sprint metrics and user results
• Provide end-to-end project management to ensure on-time, quality analytics deliverables and owns and manages project-related documentation
• Understand and deploy frameworks to track dependencies across product teams (e.g., dependency mapping, backlog grooming, risk registry, BRP)
• Can articulate a go to market plan that identifies change management needs and resourcing requirements
• Counsel teams leveraging frameworks (e.g., scrum) and organizes teamwork and interactions using agile tools and metrics
• Problem solve with Data Scientists and Data Engineers to:
  • Source data and build pipelines
  • Select appropriate models (from a business lens, not technical)
  • Support model testing (from a business lens, not technical)
  • Ensure relevant insights are derived
  • Ensure effective deployment

Behaviors:

• Strong critical thinking and problem-solving skills with ability to accurately analyse situations and reach productive decisions based on informed judgment

• Effective at stakeholder alignment, drives transparency on priorities and expected return
• Highly organized, detail-oriented, and proactive with strong program management skills
• Focuses on business agility and agile delivery with a “fail-fast, succeed early” mindset and emphasis on measurable outcomes
• Excellent communication skills, both verbal and written; able to communicate effectively with multiple leadership layers and across a broad base of team members
• Self-motivated and eager to learn business and analytics perspectives
• Creates a culture that relentlessly focuses on helping the team and organization reach their goals
• Able to build a sense of trust and rapport that creates an inclusive and effective workplace
• Ability to influence at all levels (from junior colleagues to executives)
• Ability to motivate team members
• Attention to detail; have a “can do” attitude and thrive on a “test and learn” mentality with diverse technical talent
• Able to simplify and streamline product delivery by breaking down complex features, identify the riskiest assumptions and flag potential dependencies

To succeed in this role:

• Bachelor’s degree in business, finance, computer science, statistics, or related fields; advanced degree preferred
• 3 to 5+ years of experience in leading a cross functional agile product or solution development team with demonstrated success
• Experience in setting priorities for a team, managing a product backlog/release plan, tracking team level metrics, and removing blockers (e.g., burndown chart, release burn up)
• Deep understanding of agile methodologies and what makes teams successful
• Broad knowledge in business, analytics (e.g., machine learning, statistical testing), data engineering, and technology

A college degree is great but not required. What's more important is having the skills to do the job. If you don't have a college degree, other acceptable experiences could include:

• Experience noted above, OR
• Military experience where skills including teamwork, adaptability, organization, and follow-through will help you build team and client relationships, identify solutions, and achieve success

Preferred Qualifications

• Scrum Master Certification
• Python or SQL preferred
• Jira and Confluence preferred
• Proven ability to efficiently learn and solve new business domains and problems
• Nice to have experience with popular open-source or commercial optimization libraries (e.g. Gurobi, CPLEX)
• Knowledge with dashboarding tools (e.g., Dash, Shiny, Tableau)
• Nice to have knowledge with MLOps infrastructure (e.g., Databricks, MLflow) and containerization and managing production pipelines and microservices (e.g., Docker, Kubernetes)

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