Data Product Owner (Marketing/MarTech)

Improvado is an AI-powered, unified platform designed for marketing teams in medium to large-scale enterprises and agencies, who are looking to automate complex marketing intelligence and reporting to make decisions with ease. Improvado gathers, organizes, and untangles marketing data to deliver instant insights through BI and AI, helping to eliminate complexity, delivering laser-focused insights to optimize budgets, enhance campaign efficiency and marketing ROI.
About the role
This role sits within a Transformation Team - a small, high-impact group of data analysts and analytics engineers responsible for Improvado's transformation layer: SQL DataMarts, custom pipelines, and analytics products (Martech Recipes, Attribution/MMM, DataPrep) that turn raw marketing data into clean, client-ready datasets. As Senior Product Owner/Analyst, you'll own technical delivery on complex client accounts, build and automate analytics workflows, and drive product quality through a combination of deep SQL expertise and applied AI. You will own a product, write data transformation logic, build automation, and directly solve complex technical problems—rather than managing from afar.
Responsibilities

Drive the product roadmap and end-to-end delivery on complex client implementations: SQL DataMarts, custom pipelines, MarTech Recipes, Attribution, and DataPrep

Partner with the engineering team to design, prioritize, and ship new product features, while refining and fixing existing logic

Focus on marketing data optimization (attribution models, campaign tracking, and funnel performance) to drive client results

Build and maintain automated analytics workflows using AI tools, scripting, and modern data stack (dbt)

Troubleshoot, debug, and resolve production data pipeline issues, including direct client-facing escalations

Identify opportunities to replace manual processes with scalable, AI-driven solutions

Collaborate with Product, BI, and CSM/TCS teams on architecture decisions and client data requirements

Contribute to SOPs and documentation for transformation processes

Qualifications

Demonstrated experience applying AI tools to automate analytics or data workflows: Claude Code, prompt engineering, agentic coding to accelerate development, write tests, optimize complex problems, and ship faster

Product ownership/ product management proven experience — able to take a problem end-to-end with minimal hand-holding

Experience building and scaling an AI agent and ability to make it reliable

Strong SQL skills required; dbt or similar transformation-tooling experience strongly preferred

Hands-on ETL/ELT pipeline experience (BigQuery, Snowflake, Redshift, or ClickHouse) - nice-to-have

Experience troubleshooting production data pipelines and resolving data quality issues

Marketing or revenue data domain experience

Availability to work full US Eastern Time (ET) hours with future relocation to Latin America

Fluent English (able to have client calls)

Nice to have

Python for data processing and automation

Experience working directly with clients on technical requirements

BI tools (e.g., Superset) for operational reporting

What We Offer

Remote-first environment

Optional relocation assistance to Latin America after your trial period

Strong product/market fit: marketing data product for US-based enterprises

Modern AI tech stack and freedom to experiment

High-velocity team where you'll constantly learn and scale your skills

High autonomy and ownership — we care about outcomes, not hours

AI-first, collaborative, no-bureaucracy culture with a technically strong, international team

20 working days of PTO per year

US holidays and additional days off

Professional development reimbursement

Originally posted on Himalayas