R&D Product Owner - Data, Analytics, Digital & AI Delivery (Pharma Industry) (WFH)

R&D Product Owner - Data, Analytics, Digital & AI Delivery (Pharma Industry)

Start Date

Starts  Immediately

CTC (ANNUAL)

Competitive salary Competitive salary

Experience

5 year(s)

5 year(s)

Apply By

Not Provided

Posted few hours ago

Job

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About the job

Company Description

ERP Logic is a globally recognized SAP Cloud Solutions company, specializing in SAP implementation and application services. Since its inception in 2009, the company has grown significantly to over 1,000 employees and expanded its presence across the United States, Europe, the Middle East, India, and Israel. As one of the top three SAP reseller partners globally for SAP S/4HANA Grow and SAP S/4HANA Rise, ERP Logic serves over 500 customers, including both large enterprises and mid-sized companies. With deep expertise in SAP S/4HANA and SAP ECC, ERP Logic supports businesses in transitioning to advanced ERP systems with a customer-centric approach and sustainable solutions.

Role Description

The DADAI ( Data, Analytics, Digital & AI Delivery ) Domain Product Owner is accountable for translating approved product priorities into delivery-ready scope and for maximizing execution quality across products. The Product Owner owns the product backlog, clarifies requirements, defines acceptance criteria, and ensures delivery teams can execute with clear priorities, technical alignment, and quality standards.

The Product Owner acts as the primary delivery-facing interface between the domain Business Unit priorities (via the IT SHM / Product Manager) and the DADAI delivery factory / CoEs at the product level, ensuring continuous alignment between business intent, delivery execution, and backlog refinement.

Key Responsibilities

The Product Owner contributes execution input required for delivery planning, including:

Translating approved business priorities into clear product scope, epics, features, and user stories.

Identifying execution implications and collaborating with CoEs, Architecture, Data, and delivery teams to refine delivery-ready scope

Assessing execution dependencies, technical constraints, regulatory considerations, and data readiness implications at product level

Defining clear feature scope, acceptance criteria, assumptions, and delivery readiness inputs for planning

Ensuring backlog items are complete, clear, and meet DADAI quality standards prior to PI / sprint planning and delivery execution

Acting as the primary delivery-facing product authority for feature scope, backlog priorities, and acceptance decisions for ARTs, PODs, and vendor teams

Supporting operational feedback loops by translating production learnings, defects, and enhancement requests into backlog refinement and prioritized delivery actions

Success Measures:

Delivery Readiness & Planning Quality

Percentage of features entering PI / sprint planning with clear scope, acceptance criteria, dependencies, and required architectural or data inputs identified.

Minimizing late discovery of dependencies, data readiness gaps, or scope ambiguity during planning and execution.

Execution Quality

Plan adherence of sprint / PI predictability for committed feature delivery.

Percentage of accepted stories / features meeting definition of done without major rework.

Education and Skill-set Required

Data, Analytics, Digital, Automation or AI Products (5+ years)

Proven ability to understand existing systems and data landscapes, business processes, integrations, and translate business needs into scalable digital, data, and AI solutions.

Proven experience in business analysis and delivery for enterprise digital, data, analytics and AI solutions within complex, global organizations.

Strong understanding of endtoend data and analytics lifecycles, including data ingestion, modeling, transformation, analytics consumption, and operationalization of insights.

Hands-on experience supporting the design, implementation, and adoption of business applications, and workflowbased digital solutions across multiple business units.

Experience working with analytics, AI, and ML-enabled solutions, including requirements definition, usecase shaping, model integration into business processes, and alignment with platform and data governance standards.

Solid knowledge of data concepts such as data modeling, data integration, data quality, and working with structured datasets to support reporting, advanced analytics, and AI use cases.

Strong understanding of relational databases and querying concepts (e.g., SQL or similar technologies), with the ability to collaborate effectively with data engineers and analytics teams.

Broad understanding of enterprise cloud ecosystems, including productivity platforms, data platforms, and cloud services supporting analytics and AI workloads.

Product Ownership in Enterprise IT (5+ years)

Enterprise IT roles combining businessfacing product ownership with delivery execution

Proven ability to operate within domain priorities while managing productlevel tradeoffs and dependencies

Backlog Refinement & Delivery Readiness (5+ years)

Proven experience translating approved business priorities into epics, features, and user stories that are ready for delivery planning, including:

oFeature decomposition and backlog structuring

oAcceptance criteria definition and readiness for planning

oDependency, technical constraint, and data readiness identification

oPreparation of delivery-ready inputs for PI / sprint planning

oDemonstrated ability to work in close partnership with a businessfacing leader (IT SHM / Product Manager) while owning backlog clarity, delivery readiness, and execution quality.

Technical Assessment & Data Quality (5+ years)

Capability to perform highlevel technical assessment of data, digital and AI solutions, including dependencies, constraints, and implementation implications.

Strong focus on data quality assurance, including alignment on data definitions, quality checks, and acceptance metrics across the data pipeline and analytical outputs.

Handson experience driving product alignment with:

oEnterprise Architecture

oSecurity and privacy

oData governance

Advantage - Domain Business Understanding(3+ years)

Handson experience delivering, or productowning solutions in the pharma R&D business area.

Strong ability to translate business processes and pain points into epics, features, and measurable product outcomes.

Preferred

Regulated or HighCompliance Environment (2+ years)

Experience delivering solutions in environments with:

oValidation requirements

oAudit readiness

oControlled release and change management practices (e.g., GxP)

Formal Certifications

SAFe POPM, SAFe Practitioner, or equivalent agile/product certification.

ITIL Foundation or equivalent service management exposure.

Key Capabilities and Skills

Strong stakeholder management and communication skills

Ability to translate business problems into clear, delivery-ready requirements

Value-focused prioritization and decision-making

Structured, detail-oriented, and comfortable working with ambiguity

Collaborative mindset with delivery teams and business partners

Demonstrated proficiency in data analysis, digital technologies, and AI literacy

Understands enterprise platforms and constraints

Can assess technical impact of scope & priority decisions

Ensures quality and operability are built into the product

Effective collaboration with engineers, architects, and Scrum / ART roles to remove ambiguity and enable predictable delivery

Earn certifications in these skills

Who can apply

Only those candidates can apply who:

1. have minimum 5 years of experience

Salary

Probation:

Duration:

Salary during probation:

After probation:

Annual CTC: Competitive salary

Number of openings

1

Editor’s note

Information above is Internshala's interpretation and paraphrasing of what we found on the shared link.

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