Data Product Manager

About SRS Acquiom    

SRS Acquiom has built its reputation on shaking up the financial services technology world by redefining how complex M&A and loan agency transactions get done. Since 2007, we’ve been the partner dealmakers rely on for speed, precision, and less friction -supporting over 10,000 deals worth more than $1.7 trillion along the way. 

Our solutions start with human expertise and are powered by technology: virtual data rooms, document solicitation, escrow and payment administration, shareholder representation, and independent loan‑agency services like administrative and collateral agent support. Each service works seamlessly on its own, but when brought together by our expert team, they form an end‑to‑end system that helps even the most complex deals cross the finish line. 

We’re equally committed to building careers as we are to building solutions. At SRS Acquiom, internal mobility isn’t just a buzzword, it’s part of how we grow. We invest in our people, creating opportunities to learn, stretch, and step into new roles as the business evolves. 

If you’re looking for a company with entrepreneurial energy, a proven record of growth and innovation, and a culture that supports your next career move, we’d love to talk. 

A few benefits our employees enjoy

• Day‑one coverage: medical, dental, and vision plans so you’re protected from the start 
• A 401(k) with a 4% company match to keep your future on track 
  Discretionary time off - take the time you need, when you need it
• Employer‑paid life insurance, with the option to add extra coverage for peace of mind
• Employee Assistance Programs for confidential support when life gets complicated
• Discounted pet insurance (because furry family members count, too)
• A fitness credit to back your health and wellness goals
• Pre‑tax plans for dependent care, transportation, and flexible spending 

 

Position Summary    

We are currently searching for a Data Product Manager to join our team. As a Product Manager, you will play a pivotal role in the development and success of our products. You will assist the Director, Product Management, in driving the strategy and implementation of our data product with a focus on defining and executing our enterprise data strategy, for both our related applications and beyond, while also supporting our current systems and data needs. SRSA’s vision is to maximize the value of its data by ensuring accuracy, consistency, security, and accessibility across all business functions. The organization fosters a culture of data stewardship to support strategic decision-making, compliance, operational excellence, and innovation. You will work closely with our internal stakeholder teams to help the company deliver on its commitments to our clients.

Location: This is a hybrid position based in Denver, CO.  

Compensation: The salary range for this position is between $130k and $140K, depending on experience level.

 

Primary Responsibilities    

• Maintain organized work habits by adhering to team processes, effectively managing time, and delivering work on schedule to meet commitments. 

• Ensure high responsiveness and follow-through in all communications, providing prompt updates to engineering and product stakeholders. 

• Define key performance indicators to measure success of features. 

• Break down complex projects into small, incremental user stories to enable frequent delivery of value. 

• Conduct a detailed assessment of legacy source systems to identify unstructured and/or poorly organized data. Document existing data formats, fields, and integration points, noting inconsistencies or gaps that hinder governance. 

• Work intimately with Data Engineering to prioritize critical elements from legacy systems that are essential for business operations and reporting. Focus initial efforts on high-impact data sets to maximize value and minimize disruption. 

• Develop and implement incremental data normalization routines—such as standardized field mapping, data cleansing scripts, and metadata tagging—starting with the most business-critical data. 

• Help architect the ideal data domain schema we should implement.