VP, Data Products & Platform Lead

About the Role

We are hiring the founding lead for data products and platform: a senior hands-on builder who will own how the firm defines governs and ships its core investment data and who will grow a small team around them. You will sit at the center of a federated model every desk from portfolio management and trading to portfolio administration finance research and compliance already builds with our data. Your job is to turn that energy into trusted shared and governed products rather than fragmented private workarounds. This is a player-coach role: you will set product direction write production code and hire and lead as the function grows.

Responsibilities

Data Product & Governance

• Stand up the firms first real intake prioritization and roadmap for data work replacing ad-hoc triage with a visible defensible backlog.

• Learn how each function uses the same data then reconcile divergent definitions into a single set of canonical documented entities fund and security master holdings classifications corporate actions index data that the firm trusts and reuses.

• Own the data-product lifecycle: turn recurring needs into governed shared products with clear ownership SLAs and a catalog that makes the canonical layer discoverable.

• Drive adoption measured by the number of teams using the shared layer instead of querying raw vendor tables.

Hands-on Engineering & Delivery

• Build and ship. Write production dbt models in Python and SQL and design the serving and semantic layers. You are expected to be in the codebase not only the roadmap.

• Harden the platform: alerting on data freshness and pipeline runs workload isolation least-privilege service accounts and managed monitored ingestion.

• Partner on the market data and internal reporting build and the Bloomberg / FactSet data consolidation already underway; make the canonical layer the obvious safe starting point for AI-assisted building across the firm.

Leadership & Team-building

• Build and lead a small senior data team; mentor existing engineers and the embedded analysts across the business.

• Establish the operating model shared repository review and approval workflow standards with the central team as reviewer and enabler not gatekeeper.

• Be the firms senior voice on data translating fluently between business stakeholders compliance and engineering.

Qualifications

• 8 years in data with a genuine blend of hands-on data engineering and data-product ownership you have both shipped pipelines and models and owned definitions and roadmaps.

• Deep buy-side / asset-management data domain: security and fund master holdings transactions corporate actions benchmarks and index constituents identifiers and NAV plus the vendor feeds behind them (Bloomberg FactSet fund-accountant data).

• Expert SQL and Python; production experience with Snowflake and dbt (or close equivalents).

• Demonstrated ownership of a canonical data model or data standards across multiple consuming teams.

• A track record of building and leading a small data team or clear evidenced readiness to step into a founding-lead role.

• Strong written and verbal communication; able to set definitions and defend prioritization with executives and compliance.

• ETF / 1940-Act fund experience; familiarity with SEC recordkeeping (Rule 204-2) Regulation S-P 15(c) board reporting and the Tailored Shareholder Reports regime.

• Modern-stack depth: data catalog (e.g. OpenMetadata Atlan) orchestration (Airflow / MWAA) managed ingestion BI (Sigma) Snowflake Cortex and semantic views.

• Hands-on with AI-assisted engineering (e.g. Claude Code Codex Kiro) and with building self-serve semantic or agent layers over governed data.

• AWS and Terraform / infrastructure-as-code; experience standing up data governance in a regulated environment.

Our Stack

Snowflake dbt Sigma MWAA / Airflow AWS (S3 Lambda) GitHub Enterprise Terraform; Bloomberg and FactSet; Okta for identity; and Claude Enterprise Claude Code Kiro and AWS Bedrock for AI-assisted engineering.

Compensation Range:

• $220000-$230000 plus annual bonus

Global X does not accept unsolicited resumes or candidate profiles from recruitment agencies search firms or third-party recruiters.

Compensation & Benefits

Global X offers a competitive total compensation package including base salary annual performance bonus and a comprehensive benefits program:

• Competitive base salary with annual performance-based bonus

• Comprehensive medical dental and vision insurance

• 401(k) retirement plan with company matching

• Generous paid time off and company holidays

• Professional development and continuing education opportunities

• Hybrid work flexibility

• Life and disability insurance

• Wellness programs and employee assistance program (EAP)

About Global X

Global X was founded in 2008. For more than fifteen years our mission has been empowering investors with unexplored and intelligent solutions. Our product lineup features a wide range of ETF strategies and $78.1 billion in assets under management. While we are distinguished for our Thematic Growth Income and International Access ETFs we also offer Core and other funds to suit a wide range of investment objectives. Explore our ETFs research and insights and more at.

Global X is a member of Mirae Asset Financial Group (Mirae Asset) a global leader in financial services with $803 billion in assets under management worldwide. Mirae Asset has an extensive global ETF platform ranging across the U.S. Australia Brazil Canada Colombia Europe Hong Kong India Japan Korea and Vietnam.

Required Experience:

Exec