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Senior Product Manager, Advisor Analytics & Insights

Job in Oakdale, Washington County, Minnesota, USA
Listing for: Osaic
Full Time position
Listed on 2026-05-16
Job specializations:
  • IT/Tech
    Product Engineer, Data Analyst
Salary/Wage Range or Industry Benchmark: 110000 - 136000 USD Yearly USD 110000.00 136000.00 YEAR
Job Description & How to Apply Below

Senior Product Manager, Advisor Analytics & Insights

Location(s):

  • Scottsdale: 18700 N Hayden Rd, Suite 255, Scottsdale, AZ 85255
  • Atlanta: 2300 Windy Ridge Pkwy SE, Suite 750, Atlanta, GA 30339
  • La Vista: 12325 Port Grace Blvd, La Vista, NE 68128
  • Oakdale: 7755 3rd St. N, Oakdale, MN 55128
  • St. Petersburg: 877 Executive Center Dr. W, Suite 300, St. Petersburg, FL 33702

Osaic has returned to the office on a hybrid schedule requiring a minimum of 4 days weekly in the office. Applicants should be located at one of our hubs listed above and must be willing to work this schedule.

Role Type: Full-time, Exempt

Salary: $110,000 – $136,000 per year + annual performance-based bonus. Actual compensation offered will be determined individually, based on job-related factors including location, skills, licensure, experience, and education.

Additional benefits include health, vision, dental insurance, 401k, paid time off, volunteer days, and more.

Summary

Osaic is redefining digital experiences for financial professionals by creating solutions that help advisors, their teams, and their clients thrive. As a Senior Product Manager for Digital Solutions you will lead the discovery and delivery of innovative digital products, translating complex problems into actionable solutions that delight customers and drive business impact.

In this role, you will own the end-to-end product lifecycle for dashboards, performance insights, portfolio analytics, growth metrics, and practice intelligence tools. You will collaborate closely with design, engineering, and business partners, leveraging modern tools and AI-assisted workflows to accelerate learning, test hypotheses, and make data-informed decisions.

Education Requirements
  • Master’s degree preferred.
  • A minimum of a bachelor’s degree is required.
Responsibilities
  • Own product discovery and strategy, defining and communicating a clear product vision, strategy, and roadmap grounded in customer needs, business objectives, and validated learning.
  • Lead early‑stage discovery through rapid experimentation, using research, prototyping, and AI-assisted tools to test hypotheses and reduce risk before engineering investment.
  • Translate complex problems into clear, testable product concepts using lightweight prototypes, interactive models, and structured artifacts.
  • Partner closely with design and engineering to evolve validated concepts into scalable, production‑ready solutions, ensuring clear handoffs while preserving engineering ownership.
  • Lead the end-to-end product lifecycle from ideation through launch and post‑launch optimization, balancing speed, quality, and long‑term platform considerations.
  • Act as the voice of the customer by synthesizing market research, competitive insights, usability testing, and direct feedback into actionable decisions.
  • Define success metrics and analyze performance using qualitative and quantitative data to measure outcomes, inform prioritization, and guide iteration.
  • Manage trade‑offs across scope, cost, schedule, and customer impact, making principled decisions that balance business goals with technical feasibility.
  • Communicate product progress and insights to senior leadership using clear narratives and data.
  • Stay current on industry trends and emerging technologies, including AI‑enabled practices, to continually improve product discovery, delivery, and customer experience.
  • All other duties as assigned.
Basic Requirements
  • 7+ years of product management experience, with ownership of strategy, discovery, and delivery in complex or fast‑paced environments.
  • Strong product discovery and problem‑framing skills, including the ability to translate ambiguity into testable hypotheses.
  • Comfort with rapid prototyping and experimentation using modern tools such as design, no/low‑code, and AI‑assisted tools.
  • Strong analytical ability, experience defining metrics, interpreting data, and using insights to drive decisions.
  • Excellent communication and storytelling skills, presenting strategy and outcomes to senior leaders.
  • Demonstrated ability to lead cross‑functional collaboration with design, engineering, business, and operational stakeholders.
  • Working knowledge of modern product development…
Position Requirements
10+ Years work experience
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