The Opportunity
Our goal is to deliver a best-in-class, intelligent analytics solution that provides a simple and engaging experience for customers and delivers valuable insights across the Riskonnect platform. The Senior Product Manager, GRC Analytics is primarily responsible for designing requirements and outputs — datasets, reports, and dashboards — for Riskonnect’s GRC solutions, built on our Power BI and Microsoft Fabric analytics platform. Over time, the role will expand into other innovative data solutions, including AI- and machine learning-driven insights and other statistical techniques.
This role requires close collaboration with product managers, product owners, data engineering, and other internal and external product and technology experts.
The right candidate will be capable of blending the needs of customers and internal technical and business groups to create a platform roadmap and will work with the R&D teams to ensure smooth delivery. This person will have a demonstrable track record of telling a compelling story and providing actionable information using data visualization techniques.
_____________________________________________________________________________
Primary Responsibilities
- In partnership with the broader Product Management, Development and Innovation teams, Customers and Sales teams, prioritise and lead product feature design and development against roadmap priorities and other platform opportunities.
- Define scope, requirements, and usability for end-user facing data visualization and embedded analytics capabilities, including personalization.
- Design, and at times build, analytics content within our Power BI and Microsoft Fabric environment.
- Identify opportunities to apply AI and machine learning — such as natural language querying, automated insights, or predictive analytics — within the GRC analytics experience.
- Assist in the upskilling of the Custom Reporting team in requirements design and data visualization best practice.
- Contribute to mapping relationships between key business concepts, including unstructured data, to support Master Data Management across the organization.
- Propose multiple potential solutions for complex or new problems and make objective recommendations on the direction to take.
- Continually assess and integrate internal and external customer feedback and business metrics.
- Stay on top of market trends to determine new or enhanced product capabilities that positively impact user experience.
- Work within an agile delivery framework, partnering closely with development and QA teams to ensure requirements translate into well-understood, deliverable epics and user stories.
- Perform with a wide degree of latitude on creative solutions.
_________________________________________________________________________________
Your current skillset will include:
- An understanding of GRC processes and technologies, and the reporting and analytics needs of GRC stakeholders.
- Hands-on experience with modern data and BI platforms; strong working knowledge of Power BI and Microsoft Fabric is highly valued, with experience in Salesforce, Izenda, Exago, Domo, or Cognos considered a plus.
- Familiarity with best-practice data and data visualization principles and methodologies, and with embedded analytics products.
- Experience building and designing products that use both real-time and batch data at scale, and an understanding of the underlying data architecture (e.g. lakehouse, star schema).
- Ability to write and validate SQL queries, and to trace data flows end-to-end to ensure data quality.
- Awareness of how AI and machine learning capabilities are being applied within analytics and BI tooling.
- Demonstrated data-driven decision-making capability.
- Experience taking direction and input from multiple sources and shaping a shared product vision.
- Familiarity with agile development processes, and comfortable working closely with development and QA teams.
- Demonstrated ability to work across a diverse scope of projects requiring detailed analysis, creative/practical problem solving, and sound judgement.
_________________________________________________________________________________
Essential Criteria:
- Bachelor’s degree in computer science, Data Science, Mathematics, or a similar technical discipline, or equivalent practical experience in a data/analytics product role.
- 4-7 years’ experience working with data visualization and reporting solutions in a hands-on and design capacity.
- Demonstrable knowledge and experience of a visual design methodology used to capture customer and product requirements.
- A minimum of 3 years of experience in the enterprise technology domain, such as cloud technologies, open source, and analytics.
Desirable Criteria:
- 4-7 years’ experience as a Data Scientist, or as a product manager working closely with Data Scientists on big data, database management, and enterprise software products.
- Hands-on experience with Master Data Management, modelling, and governance, preferably within the B2B space.
- Experience with Product Management and project-tracking software such as Azure DevOps and Jira.
- Experience with using AI technologies to assist in the full Product Management lifecycle.
Skills Required
- Bachelor's degree in computer science, data science, mathematics, or a similar technical discipline, or equivalent practical experience in a data or analytics product role
- 4-7 years of experience working with data visualization and reporting solutions in a hands-on and design capacity
- Demonstrable knowledge and experience with a visual design methodology used to capture customer and product requirements
- At least 3 years of experience in the enterprise technology domain, such as cloud technologies, open source, or analytics
- Understanding of GRC processes, technologies, and reporting and analytics needs
- Hands-on experience with modern data and business intelligence platforms, especially Power BI and Microsoft Fabric
- Familiarity with data and data visualization principles, methodologies, and embedded analytics products
- Experience building and designing products using real-time and batch data at scale
- Understanding of underlying data architecture, such as lakehouse and star schema
- Ability to write and validate SQL queries and trace data flows end-to-end for data quality
- Awareness of AI and machine learning applications in analytics and business intelligence tooling
- Demonstrated data-driven decision-making capability
- Experience shaping a shared product vision from input provided by multiple stakeholders
- Familiarity with agile development processes and collaboration with development and QA teams
- Ability to perform detailed analysis, creative problem solving, practical problem solving, and sound judgment across diverse projects
- 4-7 years of experience as a data scientist or product manager working closely with data scientists on big data, database management, and enterprise software products
- Hands-on experience with master data management, modeling, and governance, preferably in a B2B environment
- Experience with product management and project-tracking software such as Azure DevOps and Jira
- Experience using AI technologies throughout the product management lifecycle
- Experience with Salesforce, Izenda, Exago, Domo, or Cognos
What We Do
Riskonnect is the leading integrated risk management software solution provider. Our technology empowers organizations with the ability to anticipate, manage, and respond in real-time to strategic, operational, and digital risks across the extended enterprise. More than 900 customers across six continents use our unique risk-correlation technology to gain previously unattainable insights that deliver better business outcomes. Riskonnect has more than 500 risk management experts in the Americas, Europe, and Asia. To learn more, visit www.riskonnect.com.
