Manager, Portfolio Data Operations

The Role

We are currently seeking a Data Operations Manager to join our Portfolio Data Operations Team!

Part of the broader Addepar Engineering organization, the Portfolio Data Operations team is responsible for ensuring Addepar's clients have timely and high quality data. This will include being responsible for the processing of transactions and positions so that it meets client timelines, ensuring data quality through verification checks, and helping clients with their data support questions. The Portfolio Data Operations team sits at the nexus of Addepar's activity and requires daily communications with data providers, clients, and other personnel within Portfolio Data Operations and across the firm.

Addepar takes a market-based approach to pay. A successful candidate’s starting pay will be determined based on the role, job-related skills, experience, qualifications, work location, and market conditions.

The range displayed on each job posting reflects the minimum and maximum target base salary for roles in Colorado, California, and New York. The current range for this role is $128,000.00 - $200,000.00 (base salary) + bonus + equity + benefits.

Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Additionally, these ranges reflect the base salary only, and do not include bonus, equity, or benefits.

Applicants must be legally authorized to work in the United States for any employer without requiring current or future visa sponsorship (for example, employment-based visas such as H-1B, F-1/OPT, or similar), and must be authorized to begin work in the U.S. on their first day of employment.

What You’ll Do

• Serve as a "player/mentor" who will contribute to and supervise a team of Portfolio Data Operations Analysts in Edinburgh.
• Oversee and manage daily operational workflows for portfolio and aggregator data feeds, and help review, manage, and/or address client data inquiries and requests.
• Develop and maintain effective and efficient process controls and accurate metrics to ensure quality standards and interpersonal expectations are met.
• Partner with members of Product and Engineering to craft, test, and implement new processes and tooling features that improve data quality as well as optimise operational efficiency.
• Lead all aspects of the onboarding, mentorship, and career development of individuals on the team through timely and effective performance feedback and by providing learning and growth opportunities.
• Lead the team to accomplish goals that are aligned with the organisation’s business and talent engagement objectives and hold self and everyone accountable for meeting expectations.
• Collaborate with leads of different organisations on new data related initiatives and product offerings.

Who You Are

• 5+ years of knowledge/experience in the financial industry, securities modeling, post-trade processing or trade-surveillance systems.
• Detailed in documenting information and standard methodologies and exhibits good follow through techniques.
• Consistent track record of planning, designing, and leading numerous processes, people and projects simultaneously.
• Demonstrates effective problem solving abilities, self-motivation to take on responsibility, and a strong team-player mentality.
• Experienced with leading teams, cross-functional projects and learning and development initiatives.
• Outstanding communication and interpersonal skills for engaging with clients, custodial data providers, as well as internal partners.
• Forward looking and pragmatic on finding effective solutions to sophisticated complex issues.
• Technical skills preferred in any or all of the following: Excel, VBA, SQL, Python, Salesforce, Bloomberg, Thomson Reuters, or other common financial services systems and applications.