Product Owner

Spectraforce
Newark, NJ, United States
21 days ago

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
10 years minimum
Working hours
Regular working hours
Job source

Tech stack

Agile Methodology Amazon Web Services Business Analytics Applications Customer Data Management Information Engineering Data Governance Data Systems Meta-Data Management Virtualization Technology Enterprise Data Management Technical Debt Microsoft Fabric
+2 more
Data Analytics Data Management

Job description

Client is building a modern data ecosystem that enables business domains to create, govern, discover, and consume trusted data products at scale. The ecosystem is continuing to evolve through the adoption of emerging capabilities across data governance, metadata management, virtualization, cataloging, and data product platforms. The Product Owner serves as the bridge between business stakeholders and the central data engineering and platform teams. This role is responsible for defining and executing the vision, strategy, and roadmap that enables trusted, scalable, and governed authorized data sources, and data products across the organization. As Product Owner, you will work closely with business leaders, data product owners, architects, engineers, governance teams, and analytics consumers to ensure the platform delivers measurable business value. You will own and prioritize the backlog for the Data Mesh ecosystem, balancing business outcomes, platform investments, technical debt, governance requirements, and user experience improvements., * Set an ambitious & clear vision for your assigned Agile team; communicate that vision effectively to key stakeholders, Agile team members, and members of related teams and journeys

  • Own the end-to-end strategy and roadmap for your assigned Agile team, and ensure alignment between roadmap and product-level Objectives and Key Results (OKRs)
  • Continuously refine & improve team backlog; ensure all items are clearly described, estimated, prioritized, and released within milestones set by the roadmap and OKRs
  • Execute on the vision/roadmap in partnership with the rightful data product and ADS owners.
  • Drive adoption of data products, standards, and self-service capabilities.
  • Collaborate with Tech Lead, Architecture, Engineering, Data governance, and business teams to deliver scalable solutions.
  • Measure and communicate outcomes through adoption, quality, operational, and business value metrics.

Requirements

  • Experience as a Product Owner supporting enterprise data, analytics, or platform initiatives.
  • Strong understanding of modern data and analytics ecosystems, including data platforms, data products, governance, metadata management, and self-service analytics.
  • Strong business knowledge of institutional retirement products is a major plus.
  • Outstanding communication and interpersonal skills; able to work effectively & manage the needs of team members, leadership, and multiple business partners
  • Demonstrated ability to analyze and synthesize data to illuminate key findings and areas of opportunity + summarize findings that educate key stakeholders in a way that is meaningful and compelling
  • Excellent work ethic, with an ability to be self-motivated; able to manage changing priorities and meet aggressive deadlines
  • Proven ability to be a “servant leader” in a non-hierarchical environment, embracing an Agile mindset that evolves with business
  • Experience working in Agile/SAFe environments.
  • Experience working with enterprise data platforms and modern data technologies is preferred.
  • Prior experience with Microsoft Fabric, AWS services, Denodo, Ataccama, or similar data management platforms is a major plus.
  • Change champion with the passion to challenge status quo to find innovative solutions and drive out of the box ideas
  • Travel may be required (approximately 5-10%)
  • Bachelor’s degree + and 10+ years of relevant experience are required.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on leoforce.us

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

2:37 min

Classifying and anonymizing data during system design

Reto Kaeser · LIVE

3:06 min

The lack of responsibility over technical debt

Stefan Priebsch · WWC 2021

1:32 min

Structuring platforms for new services and data analytics

Nevelina Aleksandrova · LIVE

2:08 min

Leveraging non-technical backgrounds in software ecosystems

Karol Rogowski · LIVE

4:15 min

Bridging operational and analytical systems using formal data contracts

Matthias Niehoff Matthias Niehoff · WWC 2024

Videos

See all

Related articles

See all