Technical Product Manager, Data Platforms

Job Description

Job Description

Bellwether is a global advisory firm that helps businesses solve their most complex challenges and enhance enterprise value. We specialize in formulating and executing dynamic growth strategies through true partnership with our clients. Merging deep industry expertise, advanced analytical capabilities and best-in-class talent, we create value across the business lifecycle, from transaction management to operational transformation. Bellwether specializes in the management, analysis, and reporting of over $35 billion of AUM across a wide range of real estate related assets and corporate platforms in North America, Europe and Asia. Bellwether is privately held and has offices in Los Angeles, Newport Beach, London and Dallas.

Overview

The Technical Product Manager role owns quality assurance and data validation across all Sigma and Databricks client implementations. This is your opportunity to be the technical backbone of our platform rollout—ensuring every client migration is data-accurate, every integration is validated, and every deployment is launch-ready. You will work closely with clients and development teams to identify data gaps early, validate migrations rigorously, and build confidence in our analytics infrastructure.

The ideal candidate is a technical problem-solver with hands-on expertise in data validation, SQL, and Excel. You thrive in ambiguous, detail-oriented work where small discrepancies matter and precision is mission-critical. You communicate clearly with both technical teams and non-technical clients, and you have a proactive mindset about identifying and escalating risks early.

Key Responsibilities

• Own QA strategy and data validation plan for every Sigma/Databricks client implementation designing tie-out workflows, reconciliation checkpoints, and data quality gates
• Write SQL queries and build Excel-based data validation models to reconcile legacy system data identifying gaps and discrepancies before client launch
• Validate Sigma dashboards, data sources, and calculated fields against reconciled data ensuring clients see accurate numbers from day one
• Build and maintain data quality dashboards and detailed audit reports documenting validation results for client sign-off
• Conduct technical discovery calls with clients; document data requirements, system landscape, and identify integration risks upfront
• Identify and escalate technical blockers, data quality issues, and integration risks to the Senior PM and development team
• Coordinate with data engineering, Salesforce, and infrastructure teams on validation, integration, and deployment issues
• Build reusable validation templates, field mapping guides, and implementation checklists that scale across clients

Professional Experience

• 5+ years of market experience and professional working experience
• 3+ years of product management in business or financial analytics
• 3+ years of experience in data platform environments
• Proven track record managing client implementations or platform rollouts, translating technical requirements into operational plans
• Background in product management or cross-functional technical leadership

Education/Certification

• Bachelor's degree in Computer Science, Finance, Business Management, or related

Essential Skills & Competencies

Bellwether seeks detail-oriented, technically skilled individuals who are intellectually curious about data quality and platform operations. The successful candidate should have:

• Job Knowledge & Technical Ability:  Strong SQL skills—you can write queries independently to validate data, reconcile tables, and identify discrepancies. Advanced Excel proficiency—building data validation models, pivot tables, lookups, and audit trails. Hands-on experience with analytics platforms (Sigma, Tableau, Looker) or data warehouses (Databricks, Snowflake, BigQuery). Understanding of data migration methodologies, ETL workflows, and schema mapping. Comfortable diving into data lineage, calculated fields, and dashboard logic to identify accuracy issues. Strong attention to detail and ability to troubleshoot technical problems methodically. Strong experience with financial services, commercial real estate, or related preferred.
• Client Communication & Technical Translation:  Excellent ability to explain technical data concepts to non-technical clients. Proactive in surfacing risks early and escalating smartly. Strong listening and interpersonal skills—you ask good questions and take time to understand client context. Comfortable presenting validation results, testing outcomes, and implementation status to mixed-technical audiences.
• Initiative & Dependability:  Ability to perform responsibilities independently and proactively. Self-directed ownership mindset—you take accountability for quality outcomes and deliver end-to-end. Strong project management skills and meticulous attention to detail. Comfort with ambiguous technical problems and autonomous problem-solving.
• Professionalism & Teamwork:  Acts with honesty and integrity. Maintains confidentiality and adheres to company policies. Promotes collaborative, productive working relationships across technical and non-technical teams. Demonstrates respect and support for cross-functional partners.

Nice - to - Have Qualifications

• Experience with real estate, financial services, or asset management workflows
• Hands-on experience with Sigma BI, Databricks, or similar modern data platforms
• Familiarity with Salesforce and data migrations from legacy systems
• Experience building data validation frameworks or audit processes
• Background owning client success and managing technical implementations

Travel Requirements

• Quarterly travel to client sites for discovery calls, validation work, and implementation support

Physical & Mental Demands

• While performing the duties of this job, the employee is regularly required to stand, sit, and walk. Must be able to sit at an office workstation for an extended period of time.
• Must be able to talk, hear, and use wrists, hands and/or fingers frequently and repetitively to operate a computer, telephone, and other office productivity machinery.
• Must frequently prepare, inspect, and analyze documents and data, and convey details or important instructions accurately.
• Ability to work independently and prioritize duties to ensure timely completion. Collaboration with cross-functional partners is essential.
• Requires active listening, critical thinking, data analysis, decision-making, time management, and project coordination skills.
• Ability to interact professionally and diplomatically with clients and internal stakeholders at all times.
• Regular, predictable attendance is required.

The physical and mental demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the functions.

Work Environment

• No hazardous or significantly unpleasant conditions (typical office environment).
• Moderate noise (business office with computers, phones, and typical office traffic).
• Indoor business office environment with windows; light to moderate foot traffic within work areas. Client site visits as needed.

The work environmental characteristics described here are representative of those a teammate encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Position Details

• Position Title: Technical Product Manager, Data Platforms
• Classification: Exempt
• Position Status: Regular, Full-Time
• Reports To: Senior Product Manager, Director of Product or Vice President of Product
• Direct Reports: No

Benefits

We offer a comprehensive benefits package that includes:

• Employer-paid Medical, Dental & Vision, with buy-up options available
• Flexible Spending Account, Health Savings Account
• Carrot Fertility Benefit - $10,000 lifetime benefit
• 401k company match 4%, immediately vested
• Generous PTO, 11 Paid Company Holidays & Paid Holiday Office Closure
• 14 weeks Maternity Leave
• Wellbeing program offerings
• Cell phone reimbursement
• Engaging team events & holiday parties

Intent of Position Description

This position description describes the general nature and level of work required by the position. It is not intended to be an all-inclusive list of qualifications, skills, duties, responsibilities or working conditions of the job. The job description is subject to change with or without notice, and Management reserves the right to add, modify or remove any qualification or duty. Nothing in this job description changes the existing at-will employment relationship between the Company and the employee occupying the position.

Equal Opportunity Employer

Bellwether is an equal-opportunity employer. Bellwether complies with all federal, state, and local laws providing equal employment opportunities, and all other employment laws and regulations. All qualified applicants are considered for employment without regard to an individual's race, color, religion, religious creed, national origin, ancestry, citizenship, physical or mental disability, medical condition (including cancer and genetic characteristics), genetic information, marital status, reproductive health decision-making, sex, gender (including gender identity and gender expression), age, sexual orientation, protected veteran and/or military status, protected medical leaves, domestic violence victim status, political affiliation, or any other status protected by federal, state, or local laws. All candidates must be able to prove eligibility to work in the United States.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.