KEY RESPONSIBILITIES

Product Strategy
& Roadmap

•
Define
and own the data product vision, strategy, and multi-quarter roadmap aligned
with business objectives.

•
Identify
opportunities to create new data products or enhance existing ones based on
stakeholder needs and market trends.

•
Prioritize
product backlog and features using data-driven frameworks

Stakeholder
Management

•
Act as
the primary liaison between business units (Finance, Marketing, Operations,
etc.) and data engineering/analytics teams.

•
Facilitate
workshops, discovery sessions, and regular reviews to align stakeholders on
requirements and progress.

•
Communicate
product updates, metrics, and outcomes clearly to executive leadership.

Delivery &
Execution

•
Write
clear user stories, acceptance criteria, and data requirements documentation.

•
Partner
with data engineers, analysts, and architects to deliver reliable,
well-documented data pipelines and datasets.

•
Drive
Agile ceremonies including sprint planning, retrospectives, and backlog
grooming.

Data Governance
& Quality

•
Champion
data quality standards, metadata management, and data catalog adoption across
the organization.

•
Collaborate
with data governance teams to ensure compliance with data privacy regulations
(GDPR, CCPA).

•
Define
and monitor key data quality KPIs and SLAs for all owned data products.

REQUIRED QUALIFICATIONS

•
7+ years
of experience in product management, data product ownership, or a related role.

•
Strong
understanding of data concepts: data modeling, data warehousing, ETL/ELT
pipelines, and BI tools.

•
Proficiency
with SQL and experience interpreting complex datasets to drive decisions.

•
Demonstrated
experience working in Agile/Scrum environments with tools such as Jira,
Confluence, or Azure DevOps.

•
Excellent
communication skills with the ability to convey technical concepts to
non-technical audiences.

•
Experience
with cloud data platforms such as Snowflake, Databricks, Google BigQuery, or
AWS Redshift.

•
Proven
track record of delivering data products at scale that deliver measurable
business value.

PREFERRED QUALIFICATIONS

•
Experience
with data mesh, data lakehouse, or federated data architectures.

•
Familiarity
with data observability tools such as Monte Carlo, Soda, or Great Expectations.

•
Background
in machine learning product development or MLOps workflows.

•
Certifications
such as CSPO, PMP, or relevant cloud certifications (AWS/GCP/Azure).

•
Experience
in a regulated industry (Financial Services, Healthcare, or Retail).

Requirements

KEY RESPONSIBILITIES

Product Strategy
& Roadmap

•
Define
and own the data product vision, strategy, and multi-quarter roadmap aligned
with business objectives.

•
Identify
opportunities to create new data products or enhance existing ones based on
stakeholder needs and market trends.

•
Prioritize
product backlog and features using data-driven frameworks

Stakeholder
Management

•
Act as
the primary liaison between business units (Finance, Marketing, Operations,
etc.) and data engineering/analytics teams.

•
Facilitate
workshops, discovery sessions, and regular reviews to align stakeholders on
requirements and progress.

•
Communicate
product updates, metrics, and outcomes clearly to executive leadership.

Delivery &
Execution

•
Write
clear user stories, acceptance criteria, and data requirements documentation.

•
Partner
with data engineers, analysts, and architects to deliver reliable,
well-documented data pipelines and datasets.

•
Drive
Agile ceremonies including sprint planning, retrospectives, and backlog
grooming.

Data Governance
& Quality

•
Champion
data quality standards, metadata management, and data catalog adoption across
the organization.

•
Collaborate
with data governance teams to ensure compliance with data privacy regulations
(GDPR, CCPA).

•
Define
and monitor key data quality KPIs and SLAs for all owned data products.

REQUIRED QUALIFICATIONS

•
7+ years
of experience in product management, data product ownership, or a related role.

•
Strong
understanding of data concepts: data modeling, data warehousing, ETL/ELT
pipelines, and BI tools.

•
Proficiency
with SQL and experience interpreting complex datasets to drive decisions.

•
Demonstrated
experience working in Agile/Scrum environments with tools such as Jira,
Confluence, or Azure DevOps.

•
Excellent
communication skills with the ability to convey technical concepts to
non-technical audiences.

•
Experience
with cloud data platforms such as Snowflake, Databricks, Google BigQuery, or
AWS Redshift.

•
Proven
track record of delivering data products at scale that deliver measurable
business value.

PREFERRED QUALIFICATIONS

•
Experience
with data mesh, data lakehouse, or federated data architectures.

•
Familiarity
with data observability tools such as Monte Carlo, Soda, or Great Expectations.

•
Background
in machine learning product development or MLOps workflows.

•
Certifications
such as CSPO, PMP, or relevant cloud certifications (AWS/GCP/Azure).

•
Experience
in a regulated industry (Financial Services, Healthcare, or Retail).