Data Management & Governance Lead (SAP MDG | BODS | Datasphere | BTP)

15 years

0 Lacs

Posted:3 days ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

About the Role

Data Management & Governance Lead

Key Responsibilities

1. Presales & Solution Advisory

  • Lead presales engagements across SAP MDG, BODS, Datasphere, and BTP solutions.
  • Translate client business challenges into value-driven architectures and proposals.
  • Deliver product demos, PoCs, and presentations to CxO and enterprise stakeholders.
  • Collaborate with SAP and internal teams for go-to-market strategy and joint positioning.

2. Solution Architecture & Design

  • Design end-to-end SAP Data Management & Governance frameworks.
  • Define integrations between SAP S/4HANA, BTP, Datasphere, and non-SAP systems.
  • Lead customer design sessions and RFP solutioning.
  • Ensure compliance with SAP best practices, scalability, and data security standards.

3. Value Engineering & Business Case Development

  • Build ROI and TCO models linking data governance to measurable business impact.
  • Present data-driven value propositions aligned to compliance and efficiency goals.
  • Influence decision-making by demonstrating governance maturity benefits.

4. Customer Engagement & Delivery Alignment

  • Act as a trusted advisor for clients on data strategy and governance architecture.
  • Oversee handover from presales to delivery, ensuring scope alignment and quality.
  • Maintain long-term client relationships for expansion and continuous improvement.


Core Skills & Competencies

Skill Area

SAP Master Data Governance (MDG) -

SAP Data Services (BODS) -

SAP Information Steward -

SAP Datasphere / DWC -

SAP Business Technology Platform (BTP) -

Integration Experience -

Data Architecture & Modeling -

Data Governance Frameworks -

Data Quality & Metadata Management -

Security & Compliance -

Ideal Candidate Profile

  • 8–15 years of total experience with 5+ years in

    SAP Data Management & Governance

    .
  • Strong client-facing, presales, and architecture background.
  • Ability to engage with

    CxO-level stakeholders

    and influence data strategy.
  • Excellent communication, presentation, and proposal-building skills.

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