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Today

Global Product Owner – Business Applications

Aristocrat Gaming Las Vegas, NV

Las Vegas, NV

Today

$86k - $159k/yr Full time Agile Methodologies Agile Scrum Analytics

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Job Description

Aristocrat Gaming is seeking a Global Product Owner to lead business applications within its Product Lifecycle Management (PLM) environment. This role focuses on managing the PLM/ERP ecosystem, enabling users, and delivering system initiatives that support business processes and customer experiences through tools including Teamcenter and M2K.

Key Responsibilities

Own day-to-day management of the PLM environment, including setup, configuration, and routine maintenance.
Provide technical support for user issues and deliver training to ensure effective and efficient system usage.
Collaborate with operations teams to optimize business processes and support business growth.
Maintain data accuracy and integrity using validation rules and routine audits.
Customize and configure the system to align with operational needs, including integration with other business systems.
Lead system initiatives such as upgrades, migrations, and new feature deployments, coordinating with internal teams and external vendors.
Build and maintain operational reporting and dashboards using Power BI and SQL.
Serve as a liaison between business teams, technical teams, and external partners to support clear communication.
Partner with development teams on sprint planning, backlog refinement, and Agile ceremonies.
Create user stories, acceptance criteria, and product specifications to guide development and support product quality.

Required Qualifications

Bachelor’s degree (or equivalent experience) in Information Technology, Business Administration, or a related field.
5+ years of experience as a Product Owner, Business Systems Analyst, PLM Administrator, or in a related role supporting enterprise business applications.
Working knowledge of Teamcenter, including item creation and bills of materials.
Proficiency in SQL and SSRS for data management, reporting, and analytics.
Understanding of Agile frameworks including Scrum and Kanban, along with project lifecycle management experience.
Strong project management and leadership skills.
Practical knowledge of PLM guidelines, customization, and configuration.
Experience with data migration and integration strategies.
Effective communication and interpersonal skills.
Ability to make data-driven decisions using analytics tools.
Capability to balance critical thinking with hands-on execution.
Certified Scrum Product Owner (CSPO) or equivalent Agile certification.

Technologies

Teamcenter
M2K
Power BI
SQL
SSRS
Scrum
Kanban

Location

Las Vegas, NV (onsite)

Compensation

USD 85,634 - 159,035 per yearly

Pay range note: $63,000 - $117,000 per year

Benefits

Health, dental, and vision insurance
Paid time off
401(k) plan with employer matching

Travel Expectations

Up to 10%
Up to 25%

Additional Information

Depending on the role, you may be required to register with the Nevada Gaming Control Board (NGCB) and/or other gaming jurisdictions in which the company operates.
Aristocrat Gaming is not able to sponsor work visas for this position. Candidates must be authorized to work in the job posting location for this position on a full-time basis without the need for current or future visa sponsorship.

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24d ago

Data Product Owner

MSIG North America Warren, NJ

Warren, NJ

24d ago

$140k - $210k/yr Full time Actuarial Analytics Azure Data Factory

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Job Description

MSIG North America offers a data driven leadership role onsite in Warren, NJ. The position commands a salary range of USD 140,000 to 210,000 per year and comes with a comprehensive benefits package. You will own the development of trusted data products that span policy structure, rate filings, exposure, pricing, loss costs, and actuarial indications to enable faster, more accurate risk and pricing decisions, bolster regulatory compliance, guide portfolio strategy, and improve product profitability. This is a collaborative, governance minded role focused on measurable business impact.

Responsibilities

Define and own the end to end data strategy across Product, Underwriting, and Actuarial domains.
Establish data standards, ownership, quality controls, lineage, and governance for internal and third party datasets including ISO, NCCI, bureau data, and vendor risk scores.
Maintain a unified data dictionary and harmonized definitions across product, underwriting, actuarial, claims, and finance teams.
Ensure data workflows meet audit, regulatory, rate filing, and compliance requirements including state Department of Insurance and NAIC obligations.
Collaborate with Legal and Compliance to support rate filing readiness, regulatory reporting, and actuarial certification requirements.
Partner with data engineering to design and improve pipelines feeding policy administration systems, rating engines, actuarial reserving models, analytics, and AI use cases.
Validate data models and transformations in Azure Data Platform, Microsoft Fabric, and Databricks.
Define and enforce data quality rules for common issues such as missing exposure fields, submission to bind data gaps, rating factor inconsistencies, endorsement mismatches, and development triangle discrepancies.
Set expectations for data availability, reliability SLAs, and lineage tracking across policy and actuarial data products.
Own the roadmap for dashboards, KPIs, and reporting across underwriting performance, product profitability, and actuarial reserve monitoring.
Enable self service analytics through Power BI and Fabric semantic models, reducing reliance on manual spreadsheet based reporting.
Standardize metrics used across Product, Underwriting, Actuarial, Claims, Finance, and Reinsurance teams, including written premium, earned premium, loss ratio, combined ratio, hit ratio, renewal retention, and rate adequacy.
Support operational decisions including risk selection, pricing adjustments, portfolio rebalancing, treaty structuring, and reserve releases.
Identify and prioritize AI and advanced analytics use cases such as predictive risk scoring, price elasticity modeling, automated extraction from submissions and policy documents, ML based reserve development, exposure analytics, and AI summaries for underwriting and memos.
Collaborate with Data Science and Azure AI Studio teams to ensure models are explainable, validated, and embedded into underwriting and actuarial workflows.
Own and prioritize the data product backlog across Product, Underwriting, and Actuarial domains.
Translate business needs into clear user stories with acceptance criteria tied to measurable value, such as improved rate adequacy or faster actuarial close.
Lead Agile ceremonies, roadmap reviews, and stakeholder demos; foster alignment across Product, Underwriting, Actuarial, Claims, Finance, Reinsurance, and IT.
Improve underwriting outcomes and risk selection through better submission data, risk scoring, and appetite visibility.
Accelerate actuarial close cycles and reduce manual data preparation in reserving and pricing workflows.
Strengthen product decisions with visibility into loss costs, exposure trends, and competitive positioning.
Enhance feedback loops from claims and finance to underwriting and product with actionable loss and portfolio insights.
Improve regulatory and rate filing readiness through governance, data documentation, and auditable actuarial data.

Requirements

5+ years of experience in data product ownership, analytics, or domain-focused data roles; P&C insurance experience strongly preferred.
Strong understanding of underwriting operations, actuarial concepts (IBNR, loss development, Schedule P, loss costs), and insurance product management.
Proven experience partnering with data engineering on pipelines, data models, and quality frameworks.
Ability to translate complex insurance and actuarial concepts into clear technical requirements.
Strong facilitation, communication, and stakeholder alignment skills.
Hands on experience with the Azure analytics ecosystem: Azure Data Platform
Hands on experience with the Azure analytics ecosystem: Microsoft Fabric
Hands on experience with the Azure analytics ecosystem: Azure Data Factory
Hands on experience with the Azure analytics ecosystem: Databricks
Hands on experience with the Azure analytics ecosystem: Azure AI Studio / Azure OpenAI
Hands on experience with the Azure analytics ecosystem: Power BI

Technologies

Azure Data Platform
Microsoft Fabric
Databricks
Azure Data Factory
Azure AI Studio / Azure OpenAI
Power BI

Benefits

Healthcare and Retirement Benefits
Comprehensive medical, dental, and vision coverage
401(k) with generous employer match and profit-sharing contribution
Wellness incentive program
Life and AD&D insurance
Flexible spending programs
Short-term and long-term disability plans
Paid time off program
Paid charitable leave
Paid parental leave
Tuition reimbursement program
Personal insurance discounts

Preferred Qualifications

Experience working directly in Underwriting, Product Management, or Actuarial teams within a P&C insurer.
Familiarity with policy administration and rating systems (Guidewire PolicyCenter, Duck Creek, Applied Epic, or similar).
Experience with submission and exposure data, SOVs, loss runs, and structured/unstructured underwriting documents.
Knowledge of actuarial methods including chain ladder, Bornhuetter-Ferguson, and Cape Cod techniques.
Familiarity with state DOI regulatory requirements, rate/form filing processes, and NAIC reporting standards.
Azure, Power BI, or data platform certifications.

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1mo ago

A&I Enterprise Product Operations Analyst III

Baylor Scott & White Health Dallas, TX

Dallas, TX

1mo ago Closed

Full time Ai Workflows Analyst Analytics

This position is no longer accepting applications (closed Aug 4, 2026).

Job Description

The A&I Enterprise Product Operations Analyst III role is a senior analytics position based in Dallas with a hybrid work arrangement. It combines designing, developing, and supporting enterprise analytics solutions across the Analytics & Intelligence portfolio, blending analytics development with product operations, process improvement, and change management.

Responsibilities

Collect and assess business and technical requirements, documenting them and translating them into scalable analytics solutions, workflows, and technical specifications.
Architect, build, test, validate, and maintain complex reports, dashboards, scorecards, and data visualizations using enterprise analytics tools.
Extract, transform, and analyze data from multiple sources to deliver insights that enhance clinical and operational performance.
Apply rigorous analysis and technical expertise to solve complex business problems and identify opportunities for automation, operational improvement, and process optimization.
Develop operational metrics, portfolio performance indicators, monitoring capabilities, and reporting that support informed decision-making.
Maintain product lifecycle documentation, including onboarding, maintenance, ownership changes, and retirement activities, partnering with Product Managers to keep product information accurate and current.
Evaluate existing business processes and propose improvements that increase efficiency, scalability, and user adoption.
Support organizational change initiatives by creating communication plans, training materials, operational documentation, and adoption strategies for new processes and technologies.
Conduct testing, quality assurance, validation, and operational readiness activities to ensure reliable analytics products and reporting solutions.
Translate complex analytical findings into clear, actionable recommendations for executives, operational leaders, and clinical stakeholders.
Evaluate emerging technologies, AI capabilities, and automation opportunities that enhance analytics delivery and operational effectiveness.
Foster collaborative relationships across Analytics & Intelligence, Digital Technology Services, Security, Compliance, and business units while mentoring junior team members.

Requirements

A bachelor’s degree in Information Systems, Computer Science, Statistics, Business, Healthcare Administration, Informatics, Analytics, Engineering, or a related field, or four years of additional relevant work experience in lieu of the degree. A master’s degree is preferred.
Five years of progressively responsible experience in analytics, product operations, business systems analysis, healthcare informatics, consulting, information systems, or related disciplines. Experience supporting enterprise analytics initiatives, operational transformation, AI-enabled process improvement, or technology implementation is preferred.

Technologies

Microsoft Power Platform
Power BI
Power Automate
Power Apps
Microsoft 365
Teams
SharePoint
Lists
Forms
Planner
Copilot
Azure DevOps
ServiceNow
SQL
SQL Server Reporting Services (SSRS)
Microsoft Entra ID (Azure AD)
Tableau
Cognos

Benefits

Immediate eligibility for health and welfare benefits
401(k) savings plan with dollar-for-dollar match up to 5%
Tuition Reimbursement
PTO accrual beginning Day 1

Key Success Factors

Analytics & Technical Expertise
Advanced analytical, troubleshooting, and critical-thinking skills; strong SQL proficiency; experience with enterprise BI platforms such as Power BI, Tableau, Cognos, SSRS, or similar tools; proven ability to design dashboards, reports, KPIs, and executive reporting solutions.
Technical Problem Solving
Demonstrated ability to think critically, analyze complex business and technical challenges, identify root causes, and craft practical, scalable solutions; balance business needs with technology capabilities to drive data-driven recommendations.
Data Engineering
Knowledge of ETL processes, data warehousing, data modeling, and enterprise reporting environments; experience handling complex datasets with a focus on data quality and consistency.
Product Operations & Change Management
Experience supporting product operations, process improvement, and organizational change management; ability to evaluate workflows, implement improvements, and promote adoption of new technologies and practices; experience developing communication, training, and adoption plans.
Agile Delivery
Working knowledge of Agile, Scrum, Kanban, Lean methodologies; familiarity with Azure DevOps and project planning frameworks; experience collaborating with cross-functional teams during delivery and implementation.
AI & Emerging Technologies
Understanding of AI, ML, Generative AI, intelligent automation, and related technologies; ability to identify opportunities to boost efficiency and performance through advanced analytics.
Communication & Collaboration
Strong consulting, communication, facilitation, and stakeholder management skills; ability to translate complex technical concepts into business terms and influence decisions across audiences; capable of working independently and in multidisciplinary teams.
Preferred Technologies
Microsoft Power Platform (Power BI, Power Automate, Power Apps); Microsoft 365 (Teams, SharePoint, Lists, Forms, Planner, Copilot); Azure DevOps; ServiceNow; SQL-based reporting environments; Microsoft Entra ID (Azure AD).
Healthcare Analytics
Knowledge of healthcare informatics, healthcare analytics, and technology-enabled operational transformation is preferred.

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Microsoft Product Jobs

Global Product Owner – Business Applications

Data Product Owner

A&I Enterprise Product Operations Analyst III

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