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As a Sr. Manager of Product Management - Enterprise Data, you will lead and coach a team of Product Managers, making key contributions to WPE’s Enterprise Data vision and mission. This involves strategic and priority decision making, roadmap formulation and maintenance, and guiding the discovery (what, why, scope) and incremental execution of data initiatives. We are seeking a candidate with a unique combination of business acumen, technical expertise, strong people leadership, exceptional cross-functional collaboration skills, and a visionary approach to bring innovative ideas to life.
What's cool about this job?
As the Senior Manager of Product Management for Enterprise Data, you will be instrumental in shaping the future of our internal data products. These products are foundational and power everything from our strategy and long-term objectives to the daily operations of every department. You and your team will work in close partnership with stakeholders across the organization, ensuring the delivery of essential data drives business success, while simultaneously enhancing the capabilities of our internal data platform. Your expertise in product management and technical understanding will be crucial in leading continuous advancements and improvements through strategic initiatives.
The day to day.
People leadership: Provide mentorship and guidance to a team of Product Managers, fostering their professional growth and development
Build and maintain collaborative relationships across the organization (Business Insights, Business Transformation, Sales, Marketing, Finance, Customer Experience, Product & Engineering), developing a deep understanding of our business and a data strategy that supports the needs of our rapidly growing and changing business
Work with Data Engineering architects and leadership to create and implement a technical product strategy for our data infrastructure
Work with your team of Product Managers to build and groom a prioritized product backlog and roadmap by leading negotiation and trade-off discussions with key partners.
Work closely with engineering teams to design, scope, schedule, and incrementally deliver new data assets and for improving and evolving existing ones.
Communicate the team's work and the value it creates.
Cultivate a high performance mindset, setting high standards and clear expectations.
Be an advocate for maintaining high quality and highly maintainable data assets through best practices and standards.
Drive improvements in process and delivery cadence across the team.
Your skills and expertise.
10+ years of Product Management experience in data-heavy environments (data engineering, data analytics, or data science)
5+ years leading and mentoring product managers.
Deep understanding of data-centric technologies, including databases, data replication, data warehousing, data transformations, data processing frameworks, and data governance. SQL, FiveTran, Monte Carlo, dbt, BigQuery, Data Hub, Tableau are a big plus
History of successfully launching and managing the product lifecycle across multiple data-centric products
High attention to detail, understanding of business strategy and metrics, and experience leading multiple, contending priorities with demonstrated success in influencing key partners across multiple functions in an organization
Outstanding communication skills, both written and verbal, with the ability to convey complex data product features, technical designs, and product strategy effectively to both technical and non-technical audiences including senior leadership
Solid knowledge and experience in the software implementation life-cycle, especially in the context of data product development (Agile, iterative, incremental, observability, etc.)
Ability to work effectively with a remote team across multiple time zones
You are a servant leader. The team's success is your success. You have passion for and a demonstrated experience leading a high performing data product team and helping them grow. You have a proven history of teamwork and a willingness to roll up one's sleeves to push data-focused projects over the finish line
The perks and benefits.
Company Stock Options (All employees have ownership in the company).
Comprehensive Health Benefits (100% Employer-Paid Medical, Dental, and Vision).
Pension Scheme with Employer Matching.
Life Insurance and Income Protection (Fully Covered).
Supplementary Maternity & Paternity Pay and Caregiver’s Leave.
Employee Assistance Program.
Generous Vacation Policy.
Home Office Stipend.
Four Company Wellness Days annually.
Continuous learning opportunities via LinkedIn Learning, Workday Learning, and a dedicated Career
LI-DO1
At WP Engine, we strive to have the broadest possible view of diversity, going beyond visible differences to include the background, experiences, skills, and perspectives that make each person unique. WP Engine is proud to be an equal opportunity workplace and is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, Veteran status, or any other basis protected by federal, state, or local law.
Base Salary Range
zł400,000.00 - zł600,000.00We believe that compensation should be reflective of the impact you have within the organization relative to the market value of your role. The estimated base salary range for this position is as listed above. Some roles may also be eligible for overtime pay. Our salary ranges are determined by job role and responsibilities and level. The range displayed on each job posting reflects the minimum and maximum target for salaries for the position nationwide. The actual base pay will vary based on various factors including job-related skills and individual qualifications objectively assessed during the interview process. Your talent acquisition partner can share more about the total rewards package at WP Engine including any additional total rewards components such as equity, variable pay plans (if applicable), and benefits during the hiring process.