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).
Skills Required
- 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
- Experience working in Agile/Scrum environments with tools such as Jira, Confluence, or Azure DevOps
- Excellent communication skills with 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
- 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)
What We Do
iLink Digital, a CMMI Level 3 and ISO 9001:2015 Certified Global Software Solution Provider and Systems Integrator, delivers next-generation technology solutions to help clients solve complex business challenges, improve organizational effectiveness, increase business productivity, realize sustainable enterprise value and transform your business inside-out. iLink integrates software systems and develops custom applications, components, and frameworks on the latest platforms for IT departments, commercial accounts, application services providers (ASP) and independent software vendors (ISV). iLink solutions are used in a broad range of industries and functions, including healthcare, telecom, government, oil and gas, education, and life sciences. iLink’s expertise includes Cloud Computing & Application Modernization, Data Management & Analytics, Enterprise Mobility, Portal, collaboration & Social Employee Engagement, Embedded Systems and User Experience design etc. What makes iLink Digital's offerings unique is the fact that we use pre-created frameworks, designed to accelerate software development and implementation of business processes for our clients. iLink has over 60 frameworks (solution accelerators), both industry-specific and horizontal, that can be easily customized and enhanced to meet your current business challenges.
