RDI Lead Data Product Manager
RDI Lead Data Product Manager
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$ 140000 - 170000
1 Vacancy
Job Description
As an RDI Lead Data Product Manager youll play a crucial role in guiding the development of our RDI products used by our clients and advisory team. RDI (Rewards Data Intelligence) offerings are compensationrelated data products such as compensation surveys HR analytics and insights. These products play a critical role in large multinational organizations strategies to attract & retain talent as well as respond to the increasing demands of pay equity and pay transparency. Your responsibilities will span across various areas from defining regional and industry specific needs to planning long range data product initiatives and building agile plans. Here are the key duties and qualifications for this role:
Duties & Responsibilities- Product Vision and Strategy: Contribute to the longterm vision and strategy for your assigned products.
- Identify Opportunities: Conduct market research collaboration with internal stakeholders collected competitive intelligence and interview clients to identify product opportunities which may be new products or enhancements.
- Value Estimation: Estimate the value and revenue potential of product opportunities and formulate successful development enablement and launch strategies.
- Requirements and Designs: Maintain product requirements for your assigned products collaborating closely with technical and operations teams.
- Product Roadmap: Manage the product roadmap and prioritize features and enhancements utilizing agile style project management approaches for your assigned products.
- KPIs: Take responsibility for key performance indicators especially revenue churn and utilization for your assigned products.
- Product Evangelization: Be an advocate for your products internally across the enterprise externally in the industry and with analysts.
- Stakeholder Management: Establish and support regular cadences of bidirectional communication with various stakeholder groups to gather feedback and align on product decisions.
- Inform and Validate Data Approaches: Understand and inform which data processing and presentation approaches should be utilized for which use cases within your product portfolio. These may include but are not limited to predictive analytics prescriptive analytics natural language Processing (NLP) machine learning generative AI etc.
- Client Empathy: Build client empathy via client interviews steering committees and feedback sessions to keep up with client needs and pain points in the compensation and rewards these needs back to the business stakeholders.
- CrossFunctional Collaboration: Collaborate with cross functional teams such as engineers designers advisory sales client success managers & more to ensure alignment and of projects centered around the improvement of your products.
Qualifications
Qualifications:
- Experience: 5 years demonstrated experience in product management particularly data related products. Experience in the compensation or Human Resources space is highly desirable.
- Data Technology & Skills: Familiarity with data technologies such as data visualizations Natural Language Processing (NLP) Machine Learning generative AI. Comfort with big data approaches such as data lakes desirable.
- Product Delivery: Experience with Epic definition story mapping backlog management feature delivery A/B Testing etc.
- Communication Skills: Effective communication speaking and presentation skills are essential. Must be comfortable speaking with large and small groups which could be internal stakeholders or also be effective at explaining complex concepts simply and effectively.
- Data Skills: Knowledge of integration and data transformation best practices API integrations/partnerships and ETL processes very desirable. Realtime largescale big data platform experience such as working with data lake driven products is also valuable.
- Analytics: Qualitative and quantitative data analysis skills are essential along with a familiarity in working with both with structured and unstructured data.
- Tools: MS Office Suite particularly Excel Powerpoint & Power BI.
- Agile Methodologies: Experience working in organizations who deliver and plan via Agile approaches such as SCRUM or Kanban.
Compensation and Benefits
Base salary range and benefits information for this position are being included in accordance with requirements of various state/local pay transparency legislation. Please note that base salaries may vary for different individuals in the same role based on several factors including but not limited to location of the role individual competencies education/professional certifications qualifications/experience performance in the role and potential for revenue generation (Producer roles only).
Compensation
The base salary compensation range being offered for this role is $140000 $170000 USD per year.
This role is also eligible for an annual shortterm incentive bonus.
Company Benefits
WTW provides a competitive benefit package which includes the following (eligibility requirements apply):
- Health and Welfare Benefits: Medical (including prescription coverage) Dental Vision Health Savings Account Commuter Account Health Care and Dependent Care Flexible Spending Accounts Group Accident Group Critical Illness Life Insurance AD&D Group Legal Identify Theft Protection Wellbeing Program and Work/Life Resources (including Employee Assistance Program)
- Leave Benefits: Paid Holidays Annual Paid Time Off (includes paid state/local paid leave where required) ShortTerm Disability LongTerm Disability Other Leaves (e.g. Bereavement FMLA ADA Jury Duty Military Leave and Parental and Adoption Leave) Paid Time Off
- Retirement Benefits: Contributory Pension Plan and Savings Plan 401k). All Level 38 and more senior roles may also be eligible for nonqualified Deferred Compensation and Deferred Savings Plans.
This position will remain posted for a minimum of three business days from the date posted or until sufficient/appropriate candidate slate has been identified.
EOE including disability/vets
Required Experience:
IC
Employment Type
Full-Time
