VP Analytics

About the Role 

The VP, Analytics owns Skillz Platform analytics across SDK and Arena, consolidating people currently split across separate reporting lines into a single function accountable for measurement integrity, experiment quality and decision velocity. The function is organizationally independent of every function it scores - including Product, Growth and Strategy.

Responsibilities 

• Own Skillz Platform analytics across SDK and Arena, leading roughly ten people across four sub-functions with four direct reports.

• Establish and govern a single source of truth: the metric dictionary, the Snowflake semantic-layer contract, definitional change control, and reconciliation between the network P&L and venue scorecards.

• Specify and land the lifecycle marker that install-to-second-payment, install-to-stable and CAC-to-stable all depend on.

• Establish holdout-based incrementality as the default standard for campaigns, promos, incentives and channel spend, and refuse reads that do not have one.

• Serve as the independent scoring authority for the economy - cash, Z, Ticketz and matchmaking - against the guardrail bands set by VP Strategy.

• Ensure every stage of the profit-driver chain and both product surfaces have a named analytics owner, a live baseline and a defined cadence.

• Build and lead the Competitive & Market Intelligence function, giving leadership an external benchmark for every internal target.

• Partner as a peer with Product, Growth, Engineering, Data Engineering, Player Trust and FP&A; represent analytics in quarterly planning and the weekly leadership ritual.

• Hire, develop and retain the analytics bench; build a leadership layer and remove key-man risk on integrity and reconciliation.

Key Competencies 

• Measurement rigor under commercial pressure - can hold a defensible number when a senior stakeholder wants a different one, and knows the difference between a directional read and a causal one.

• Org design and economic thinking - structures analytics around the business's economic model rather than around features or requesters; has consolidated fragmented analytics functions before.

• Experimentation and causal-inference depth - holdout design, incrementality, cannibalization testing, and the judgment to know when a clean experiment is not worth the cost.

• Independence without isolation - scores the functions they partner with, and keeps the partnership intact while doing it.

• Executive communication - translates measurement into decisions for an SLT audience without oversimplifying or hiding behind method.

• Player-economy intuition - reasons fluently about deposits, wallets, incentive burn, tier migration, LTV and matchmaking fairness.

Experience 

• 14+ years in analytics or data science with 6+ years leading multi-team organizations, including managers reporting in.

• Owned analytics for a consumer product with a real-money, wallet or transactional economy - real-money gaming, fintech, marketplaces or online gambling strongly preferred.

• Consolidated multiple analytics or BI functions into a single org, and built and governed a semantic or metric layer at scale (Snowflake or equivalent) with company-wide adoption.

• Ran a mature experimentation programme including holdout and incrementality methodology, with demonstrable influence on monetization or acquisition decisions.

• Operated as a credible peer to Product, Growth and Engineering leadership across multiple product lines; comfortable with ambiguity and with organizations mid-restructure. 

Location: Onsite, Hybrid in Bengaluru, India

Travel Requirement: Less than 10% 

#LI-Onsite  #LI-

Skillz embraces diversity and is proud to be an equal opportunity employer. As part of our commitment to diversifying our workforce, we do not discriminate on the basis of age, race, sex, gender, gender identity, color, religion, national origin, sexual orientation, marital status, citizenship, veteran status, or disability status, and we operate in compliance with the San Francisco Fair Chance Ordinance.