Principal, Product Owner - Analytics & Data Strategy, Wealth Management

Ares Management Corporation•Denver, CO

20h

About The Position

Over the last 20 years, Ares’ success has been driven by our people and our culture. Today, our team is guided by our core values – Collaborative, Responsible, Entrepreneurial, Self-Aware, Trustworthy – and our purpose to be a catalyst for shared prosperity and a better future. Through our recruitment, career development and employee-focused programming, we are committed to fostering a welcoming and inclusive work environment where high-performance talent of diverse backgrounds, experiences, and perspectives can build careers within this exciting and growing industry. Ares is seeking a dynamic and experienced professional to help define and execute the analytics & data strategy for Ares Wealth Management Solutions. Your work will ensure insights are trusted, timely, and embedded in how our teams serve our clients and investors. You’ll act as a product owner across the analytics stack—partnering with Technology, Sales, and Marketing—to turn data into decisions, and decisions into growth.

Requirements

5+ years of experience in roles across analytics, data product management, or data strategy (financial services or B2B distribution preferred).
Hands‑on expertise with Salesforce, Tableau, Data Bricks, Alteryx and SQL (certifications preferred); familiarity with Python/ML workflows a plus.
Experience implementing data management frameworks: data ownership, quality rules, semantic layers, lineage, and access models.
Strong ability to simplify complex technical concepts for non-technical audiences.
Excellent communication and presentation skills.
Collaborative mindset with the ability to work cross-functionally.
Strong analytical and problem-solving skills.
Passion for innovation and driving strategic initiatives

Nice To Haves

Wealth/asset management domain knowledge (advisor ecosystems, platforms, alternatives distribution, pipeline attribution).
Experience operationalizing AI/ML in go‑to‑market motions (lead scoring, next‑best‑action, content optimization).

Responsibilities

Establish a multi‑year analytics strategy aligned to WMS priorities, covering the full stack: Platforms → Data Integration → Reporting → Intelligence (AI/ML); convert it into a quarterly roadmap with outcomes and KPIs.
Prioritize the portfolio (dashboards, models, signals, and data products) using a clear intake and governance process; socialize trade‑offs with stakeholders.
Lead WMS data management by partnering with Ares IT and vendors to establish an ownership model, data contracts, lineage, access controls, SLAs, and data quality rules.
Partner with Tech/IT to modernize pipelines and metadata; Product ownership for insights Own the backlog and development for key analytics products (e.g. advisor segmentation, coverage optimization, campaign attribution, and sales activity efficacy).
Drive self‑service BI—define certified data sources, semantic layers, and standards so teams can answer 80% of questions without analyst handoffs.
Introduce pragmatic ML/AI where it moves the needle (propensity models, lead scoring, opportunity recommendations, content personalization); measure incremental lift and adoption.
Partner with enterprise AI and Data programs to tap shared capabilities while tailoring for WMS use Publish monthly newsletter “Insights that matter.”