Shavish Group
Product Data Manager
Skills
18 days ago
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Important information
Contract type:
Permanent
Location:
Pune, Maharashtra, India
Work mode:
Onsite
Published on:
7 October 2026
What they need
Role & responsibilities
- Defines and owns the business-side product data requirements, including the attributes, relationships, taxonomy, and hierarchy
the PIM must hold, so the finder, configurator, and e-commerce experiences work as designed, and so that product attributes
map to the industry verticals and campaign segmentation the marketing team needs for targeted demand generation. Measured
by approved enrichment specifications for the priority product classes and attribute coverage across priority verticals.
- Owns the enrichment backlog and roadmap, sequencing it against the replat forming milestones and driving the category
Product Managers to enrich data on schedule, measured by enrichment cycle time and on-time delivery against milestones.
- Defines and owns the product detail page (PDP) content standard and the data completeness definition for each product class,
ensuring the information an engineer needs to evaluate, select, specify, and design in a Southco product is complete and
accessible - including specifications, attributes, CAD models, cross-references, and configuration data. Measured by data
completeness scores by product class and engineer task-completion metrics (e.g. CAD download conversion, configurator
completion rates).
- Defines and owns the commerce-readiness gate for each product class, signing off that product data is complete and correct
before it publishes and reporting progress against milestones in the weekly steering committee, measured by percent of product
classes commerce-ready.
- Owns the link between product data structure and Southcos industry verticals and campaign strategy, ensuring that product
attributes (industry, application, environment) map correctly to vertical segmentation and support the transition from lead
generation to targeted demand campaigns. Partners with Industry Marketing leads to define how engineers in each vertical
discover, filter, and select Southco products through the digital tools. Measured by attribute coverage across priority verticals
and campaign-to-lead attribution accuracy.
- Serves as the single business-side point of contact into the inRiver PIM workstream, briefing the implementation partner and
partnering with the PIM Administrator and web agency on feasibility. Defines business requirements for product selection and
configuration tools (product finder, product configurator, CAD download experience), ensuring these tools serve the engineers
specification workflow and deliver data that supports lead capture and conversion. Measured by on-time delivery of
requirements against programmed milestones
Preferred candidate profile
- Experience defining business-side requirements for a PIM (inRiver, Salsify, Akeneo, Stibo, or similar) and hands-on experience
enriching and maintaining product data within one, required.
- Demonstrated track record coordinating cross-functional stakeholders across product management, digital, agencies, and integrators
to deliver enriched, commerce-ready data, required.
- .Ability to translate customer-journey, UX, and engineer-workflow needs into structured data requirements for digital commerce
tools (product finders, configurators, CAD delivery), and working knowledge of how product data structure supports industry-vertical
targeting and campaign segmentation, required.
- Strong prioritization and program management skills, with the ability to run a backlog against firm deadlines and drive delivery
without direct authority, required.
- Highly detail-oriented, with strong quality assurance discipline and excellent cross-functional communication skills, required.
- Direct inRiver and Optimizely experience, and prior involvement in an e-commerce replat forming or DXP program, preferred.
- Domain background in access hardware, fasteners, or adjacent industrial components, familiarity with marketing analytics tools and
processes, and hands-on data skills (SQL or advanced Excel) to audit data completeness and quality, preferred.
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