BI Manager, Finance at Turing

Hyderabad, Telangana, India -

Full Time

Start Date

Immediate

Expiry Date

13 May, 26

Salary

0.0

Posted On

12 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Business Intelligence, SQL, Tableau, Looker, Data Engineering, Data Quality, Financial Planning, Data Governance, Executive Reporting, Anomaly Detection, Narrative Generation, ETL, Data Models, KPI Catalog, Collaboration, Storytelling

Industry

technology;Information and Internet

Description

About Turing Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises looking to deploy advanced AI systems. Turing accelerates frontier research with high-quality data, specialized talent, and training pipelines that advance thinking, reasoning, coding, multimodality, and STEM. For enterprises, Turing builds proprietary intelligence systems that integrate AI into mission-critical workflows, unlock transformative outcomes, and drive lasting competitive advantage. Recognized by Forbes, The Information, and Fast Company among the world’s top innovators, Turing’s leadership team includes AI technologists from Meta, Google, Microsoft, Apple, Amazon, McKinsey, Bain, Stanford, Caltech, and MIT. Learn more at www.turing.com Role Overview We’re hiring a BI Manager embedded in Finance to build the business intelligence function that powers planning, reporting, and decision‑making. You’ll start as a hands‑on player‑coach: designing our semantic layer, standing up Tableau/Looker dashboards, reviewing and improving data pipelines, and partnering with Business Systems as they hire BI Analysts who will transition to your reporting line. You’ll also help stand up our financial planning model and ensure a clean handshake between the data warehouse and planning tools. What You’ll Do Build the BI org in Finance: Define the team charter, operating model, and hiring plan. Provide dotted‑line guidance to BI Analysts hired by Business Systems and transition them to direct management as the team scales. Own the metrics & semantic layer: Establish a governed KPI catalog (company, segment, function), metric definitions, and a single source of truth for exec reporting. Dashboards & self‑service: Design, build, and maintain executive and functional dashboards in Tableau or Looker (LookML); enable self‑service with curated datasets. Data quality & pipelines: Partner with Business Systems/Data Engineering to review ELT/ETL pipelines, implement tests/alerts, and ensure reliability, timeliness, and completeness across key sources (e.g., NetSuite ERP, Salesforce CRM, HRIS). Modeling for Finance: Create finance‑ready data models for revenue, opex, and headcount; manage master data, mapping tables, and dimensional design that align to the GL and cost‑center structure. Planning systems integration: Help set up and maintain our planning model (e.g., Anaplan); design data contracts and automated connectors from the warehouse to planning. Reporting cadence: Produce board/ELT reporting packages, variance bridges, and driver trees; automate recurring reporting with clear "so‑what" insights and owner actions. AI‑assisted analytics: Pilot anomaly detection, narrative generation, and reconciliation automations to accelerate monthly/quarterly cycles. Qualifications Experience: 6–10+ years in Analytics/BI with meaningful time supporting Finance/FP&A; proven success building or leading a small BI team while remaining hands‑on. Technical depth: Advanced SQL; experience with BigQuery (preferred) or similar cloud warehouses; familiarity with dbt/Fivetran/Airflow (or equivalents) a plus. BI tools: Expertise in Tableau or Looker (LookML) and dashboard design best practices. Source systems: Experience with NetSuite (ERP) and Salesforce (CRM) strongly preferred; comfortable with their data models, connectors, and reporting nuances. Planning exposure: Experience enabling FP&A workflows and connecting warehouse data to planning tools (Anaplan or similar). Data governance: Comfort establishing metric definitions, data contracts, and test/monitoring frameworks. Communication: Executive‑caliber storytelling; ability to influence cross‑functionally (Finance, Business Systems, RevOps, Delivery, People). Mindset: Player‑coach, systems thinker, bias‑to‑action, and outcome‑focused. Values: We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are Al forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing: Amazing work culture (Super collaborative & supportive work environment; 5 days a week) Awesome colleagues (Surround yourself with top talent from Meta, Google, LinkedIn etc. as well as people with deep startup experience) Competitive compensation Flexible working hours Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here.

Responsibilities

The BI Manager will build the business intelligence function within Finance, focusing on planning, reporting, and decision-making. Responsibilities include designing dashboards, improving data pipelines, and managing BI Analysts as the team scales.