We are looking for an experienced Technical Product Manager Data to drive the strategy, development, and delivery of data-driven capabilities within our low-code/no-code hyper-automation platform.

The candidate should have deep expertise in batch and streaming data pipelines, high-volume data processing, and enterprise-scale production deployments.

This role requires a mix of technical product management expertise, prior technical/engineering experience, and business acumen to build products that empower enterprises to process, transform, and act on data efficiently.

What you'll do at EvoluteIQ:

Product Strategy & Vision:

- Define and own the roadmap for data products, including ingestion, processing, storage, governance, and integration capabilities.

- Ensure alignment of data product strategy with the broader automation platform roadmap.

- Identify opportunities to embed data intelligence within automation workflows.

Technical Leadership:

- Contribute to architecture and design discussions for batch and streaming pipelines.

- Define capabilities for ETL/ELT, schema evolution, and event-driven data processing with technical feasibility in mind.

- Work closely with data architects and engineers to ensure scalable, production-grade data solutions.

Execution & Delivery:

- Translate business requirements into detailed product specifications.

- Ensure compliance with data privacy, security, and governance frameworks.

- Oversee product lifecycle from concept through launch and continuous improvement.

Requirements & User Acceptance Ownership:

- Document detailed requirements, epics, and user stories ensuring alignment with product strategy.

- Define and manage user acceptance criteria (UAC) for each feature.

- Act as the custodian of product quality, certifying readiness from an end-user perspective before market release.

- Collaborate with QA and stakeholders to ensure delivered features meet business and customer expectations.

What will you bring to the team?

- 15+ years of overall experience, with several years in technical/engineering roles (data engineering, software development) and 7+ years in product management.

- Strong understanding of Batch data processing (ETL/ELT workflows, scheduled jobs).

- Expertise in Streaming data (Kafka, Pulsar, Kinesis, event-driven processing).

- Experience with High-volume data systems (data lakes, warehouses, distributed processing).

- Hands-on familiarity with Spark, Flink, Airflow, DBT, Snowflake, Databricks, BigQuery, Redshift, etc.

- Experience with cloud-native architectures (AWS/GCP/Azure) and data services.

- Proven experience in taking data products to production at enterprise scale.

- Excellent communication and stakeholder management skills