MDM Product Owner

Title: MDM Product Owner Location: NYC (or) NJ (Need local profiles Longterm contract

Professional Experience / Qualifications:
At least 5 years of relevant experience in product ownership, business analysis, or data-centric activities, with a preference for experience in the insurance industry.
8+ years of experience in master data management, data quality, data governance, and analytics, with at least 3 years in a leadership role.
Technical Skills Proficiency in master data management platforms (e.g., Informatica) and data governance tools.
Proficiency in data technologies such as data warehouses, ETL/ELT processes, cloud-based analytics platforms (AWS, Databricks, Azure), and reporting platforms (PowerBI, Cognos)
Familiarity with AI-powered analytics and automation tools.
Business Acumen Strong understanding of the insurance industry and business objectives. Ability to develop data strategies that align with business goals.
Communication and Collaboration Excellent communication and interpersonal skills to interact with technical and non-technical stakeholders. Ability to articulate complex data concepts into actionable insights.

Position Summary:
Senior Data Product Owner Master Data Management mission is to establish Master Data Management practice in Allied World, drive the design and delivery of next generation data and analytics products aligned with Allied World s strategic objectives.

The ideal candidate is a strategic thinker and great product delivery leader with ability to bring together business leaders, technology leaders and partners to:

Establish effective master data management practice to govern critical customer, broker, and product data
Create product roadmap and release plan
Manage delivery of those products through agile practices
Ensure delivered data products enables expected business value
Deliver actionable insights to support data-driven decision making across the business Key Responsibilities :
Delivery Data Solutions What and Why
Strategy and Roadmap Develop and execute the data product strategy, vision, and roadmap, ensuring alignment with business objectives and strategic goals.
Master Data and Reference Data Management Implement best-in-class master data governance policies, processes, management capabilities to standardize our critical master data assets (i.e. customers, brokers, reference codes, etc.,)
Implement industry leading Customer 360 and Broker 360 products to support our growth and improve our customer engagement activities.
Stakeholder Collaboration Collaborate with business stakeholders to understand data needs, translate these into actionable tasks, and prioritize them based on business value and urgency. This involves maintaining a comprehensive product backlog for data solutions.
Agile Methodologies Act as the agile Product Owner for the Data Engineering, Reporting, and Analytics teams, responsible for authoring user stories, prioritizing the team backlog within sprints, and leading development teams through planning, refinement, review, and sprint reviews.
Data Governance and Quality Ensure data products meet the required standards, including data quality, security, and governance. This involves validating software designs to meet business and operational requirements.
Communication and Facilitation Facilitate meaningful conversations across all levels and areas of the company, from technical teams to executive levels. Articulate, elicit, and inspire others to execute on the product vision.
Project Management Plan, direct, and coordinate projects to ensure goals and objectives are accomplished within prescribed time frames and funding parameters. Assist in project support and resource planning.
Customer and Product Understanding Develop a deep understanding of customer and product needs, serving as the voice of the business to the technical team. Ensure traceability between requirements, features, and user stories. Well Informed Stakeholders & Users Who
Lead monthly Master & Reference Data Management Review with each senior stakeholder and provide transparency on all data engineering initiatives
Influence and motivate the business, data, and product leads to create a culture of delivery
Partner with Information Security, Enterprise Architecture and Platform Engineering teams on all innovation and key technology initiatives to make sure data engineering aspects effectively managed
Grow the Agile Practice How
Accountability: Taking personal accountability to getting this done as per our commitments
Transparency: Clearly provide visibility and communicate regularly on how we are progressing on any kind of deliverables
Cost Effective: Always look for opportunities to be a cost-effective product organization by thoughtfully leveraging solutions, technology partners, on-site and off-shore expertise
Culture: Nurture an environment where team can thrive in creativity to incubate new innovative technology/solutions that have practical and positive impact to the business.