VP, Data Products & Platform Lead

Global X ETFs; New York (NY); Hybrid; USD 220,000 - 230,000; Full time

Benefits offered by this job

Hybrid work flexibility

Competitive benefits package (medical,

401(k) retirement plan with companying

Wellness programs and EAP

Job summary

Global X is seeking a 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. You will grow a small team around you and sit at the center of a federated model where every desk builds with data.

This player‑coach role requires setting product direction, writing production code, and hiring as the function expands.

Qualifications

• 8+ years in data with hands-on engineering and data-product ownership.
• Experience with asset-management data domains including security, holdings, NAV, and related feeds.
• Expert SQL and Python; production experience with Snowflake and dbt.
• Ownership of a canonical data model or data standards across multiple teams.
• Track record of building and leading a small data team or readiness for founding lead role.
• Strong written and verbal communication; able to defend prioritization with executives and compliance.
• ETF / 1940‑Act fund experience; familiarity with SEC reporting and related regimes.
• Experience with data catalog, orchestration, BI, and AI-assisted engineering.

Responsibilities

• Stand up the firm’s first data intake, backlog, and roadmap for data work.
• Reconcile divergent data definitions into a single canonical, documented set.
• Own the data-product lifecycle with clear ownership, SLAs, and a discoverable catalog.
• Drive adoption of the shared data layer across teams.
• Build and ship: write production dbt models and design serving/semantics layers.
• Harden the platform with data freshness alerts, secure ingestion, and least‑privilege access.
• Lead and mentor a small data team, and establish operating models as the function grows.

Skills

SQL

Python

Snowflake

dbt

Data governance

Leadership

Communication

Tools

Airflow / MWAA

OpenMetadata

Atlan

Sigma

Terraform

AWS

Job description

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 firm's 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 firm's 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:

• $220,000-$230,000 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 www.globalxetfs.com.

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.