Senior Data Product Manager, Data & Intelligence at NearSource Technologies | chakrie

Requirements

Additional Requirements

8+ Years of experience as a Data Product Manager, Technical Product Manager, Product Manager, or similar role working with technically complex products.
Strong experience in strategic planning and translating business objectives into actionable product roadmaps.
Strong stakeholder management experience across business and technical teams.
Hands-on experience with analytics and data science products.
Experience with product discovery, roadmap development, prioritization, and requirements definition.
Experience managing epics, releases, product backlogs, dependencies, and acceptance criteria in an Agile environment.
Proven ability to translate ambiguous business problems and stakeholder needs into clear and executable product plans.
Experience partnering closely with engineering or technical development teams.
Working knowledge of data models, data pipelines, APIs, data quality, data governance, analytical platforms, or enterprise data products.
Strong written and verbal communication skills, including the ability to communicate complex technical concepts to non-technical stakeholders.
Experience with Customer Data Governance or Master Data Management.
Experience with Customer 360, customer identity, entity resolution, account hierarchies, match/merge, or deduplication.
Experience with third-party data ingestion, data enrichment, data quality, reconciliation, or exception management.
Experience with policy-driven data workflows, controls, audibility, or automation.
Experience with enterprise analytical data platforms, data warehouses, or lake house environments.
Experience with governed datasets, shared metrics, data definitions, or semantic consistency.
Experience with BI products, dashboard consolidation, migration, or rationalization.
Experience with embedded analytics or intelligence within enterprise applications.
Experience with predictive analytics, machine learning, recommendation, scoring, or decision-support products.
Experience with model explainability, experimentation, or hypothesis-driven product development.
Experience operationalizing analytical models and insights within business workflows.
Experience delivering intelligence or analytics through CRM platforms such as Salesforce.
Experience working in a complex, globally distributed enterprise environment.
Candidates should demonstrate meaningful experience in at least one of the following areas:
Customer Data Governance: Master Data Management, Customer 360, customer identity, entity resolution, account hierarchies, data quality, governance, reconciliation, and automated controls.
Customer Intelligence at Scale: Enterprise data and analytics platforms, governed datasets, shared metrics, data enrichment, product-ionized intelligence, BI products, embedded analytics, and AI-enabled data experiences.
Strategic Data Research and Data Science Products: Predictive analytics, machine learning, propensity and recommendation models, scoring products, model explainability, experimentation, and operationalized analytical insights.
or share your resume with salary expectations at . Thank you for considering a career with us! Once you submit your application
our Talent Acquisition team will review your resume thoroughly. If there's a strong match
we'll reach out to discuss your experience
and next steps. While we strive for transparency
we may not be able to respond to every applicant due to high volume
but we genuinely appreciate your time and interest.
About NearSource: NearSource Technologies is a trusted partner for future-ready software consulting
enabling Fortune 500 enterprises to accelerate digital transformation. Our global engineering teams build and deploy impactful technology for some of the world's most admired brands
working directly on long-term client initiatives.
Equal Opportunity: NearSource is an equal opportunity employer committed to fostering an inclusive and respectful environment. We celebrate diversity and do not discriminate based on race
or background. Innovation thrives when everyone feels empowered to contribute.

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Salary & benefits

A clear overview of what is expected, written by the people who posted it, with every detail you need to decide.

Qualifications, experience and the skills that matter most, along with anything that would make you stand out.

Practical next steps, the documents to prepare and the dates to keep in mind before you apply or get in touch.

Contact details, links to the official source and the notes our team adds after checking each listing by hand.

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Senior Data Product Manager, Data & Intelligence

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