Job Description:
Job Title: PMO & Change Manager
Corporate Title: Vice President
Location: Mumbai, India
Role Description
- The Investment Bank Divisional Data Office is seeking an experienced Vice President to support execution of the Investment Bank’s Divisional Data Officer (DDO) responsibilities and broader Data Management agenda. The role will provide senior, hands-on leadership across Enterprise Data Management, Data Governance, Data Quality, controls, metadata, lineage, authoritative sourcing and remediation.
- Working across Business, Operations, Technology and Control Functions, the successful candidate will help embed sustainable BAU processes, clear ownership and effective governance. Where formally delegated, the role will discharge defined DDO/DDS responsibilities while ultimate accountability remains with the appointed DDO.
What we’ll offer you
As part of our flexible scheme, here are just some of the benefits that you’ll enjoy.
- Best in class leave policy.
- Gender neutral parental leaves
- 100% reimbursement under childcare assistance benefit (gender neutral)
- Sponsorship for Industry relevant certifications and education
- Employee Assistance Program for you and your family members
- Comprehensive Hospitalization Insurance for you and your dependents
- Accident and Term life Insurance
- Complementary Health screening for 35 yrs. and above
Your key responsibilities
DDO/DDS & Enterprise Data Management
- Support the Investment Bank DDO in implementing the Data & Records Management Policy, associated frameworks and procedures.
- Drive delivery and maintenance of the Data Management Plan and implementation required to achieve and maintain compliance with applicable Core Data Management Standards (CDMS).
- Monitor adherence to Data Management requirements, drive remediation and recertification, and escalate material gaps or exceptions.
- Embed sustainable BAU governance and represent the Investment Bank in relevant Data Management forums.
Data Ownership, Material Data Scope & Governance
- Maintain oversight of material data assets, ensuring appropriate cataloguing, ownership and stewardship across Material Data Scope (MDS), Critical Data Elements (CDEs) and related Data Management artefacts.
- Support MDS maintenance and recertification and ensure clear accountability across Data Content Owners, Data Platform Owners, Process Owners and Data Stewards.
- Coordinate business definitions and governance of relevant Data Classes and work with other DDOs/delegates where data ownership or flows cross divisional boundaries.
- Ensure governance exceptions are appropriately owned, prioritised and remediated. Data Quality, Controls & Data Risk.
- Lead governance of Data Quality issues from identification and prioritisation through validation, root-cause analysis, remediation planning, risk assessment, implementation and closure governance.
- Drive proactive identification, assessment, monitoring and mitigation of Data Risks across Material Data Scope and Critical Data Elements, ensuring appropriate escalation and governance of emerging risk themes.
- Oversee Data Management and Data Quality controls, KPIs and management reporting to provide transparency over risk, control effectiveness and remediation progress.
- Challenge issue assessments and remediation plans, prioritising activity based on regulatory impact, risk exposure, business criticality and control effectiveness.
- Partner with Business and Technology control owners to strengthen linkage between controls, material data flows and end-to-end lineage.
Metadata, Lineage & Authoritative Sourcing
- Govern metadata, business definitions, ownership, stewardship and lineage through Collibra and other enterprise tools.
- Lead governance supporting Authoritative Data Originator (ADO), Authoritative Data Source (ADS) and Authoritative Data Distributor (ADD) frameworks and associated Authority Statements.
- Drive remediation of metadata, lineage, ownership and authoritative-sourcing gaps and promote adherence to enterprise standards.
- Drive improvements in metadata quality, lineage completeness and governance adoption metrics, reducing governance exceptions and strengthening transparency across critical data flows.
Regulatory, BAU & Stakeholder Leadership
- Support regulatory reviews, audits and remediation relating to Data Governance, Data Quality and Enterprise Data Management, maintaining clear oversight of commitments and control enhancements.
- Embed Data Management requirements into sustainable BAU processes and identify opportunities to simplify governance, automate activities and improve operating efficiency.
- Act as a trusted advisor to senior stakeholders on Data Management, Data Governance, Data Quality and Data Risk matters, providing effective challenge, strategic guidance and recommendations.
- Design and implement Data Management operating models, governance frameworks and ownership structures that establish sustainable accountability across Business, Operations and Technology functions. Lead cross-functional governance initiatives, chair relevant forums and promote a strong culture of data ownership and accountability.
Your skills and experience
Required Experience
- Significant experience in Enterprise Data Management, Data Governance, Data Quality or Data Risk Management within a global financial institution.
- Strong understanding of DDO/DDS responsibilities, enterprise Data Management operating models, Material Data Scope, CDEs and Core Data Management Standards.
- Proven experience implementing Data Governance frameworks and overseeing Data Management controls, Data Quality issues and remediation.
- Experience embedding sustainable BAU processes and supporting regulatory reviews, audits and control remediation.
- Demonstrated ability to influence senior executives, lead governance forums and drive outcomes across complex matrix organisations.
- Hands-on, outcome-focused approach with experience leading governance-driven transformation and operating-model improvement.
Investment Banking & Data Domain Knowledge
- Strong understanding of Investment Banking data domains including Product, Instrument, Client, Counterparty, Trade, Position, Market, Reference, Risk and Regulatory Reporting Data. Experience across Fixed Income, Equities, Listed/OTC Derivatives, Securities Financing Transactions (SFT), Treasury, Reference Data and Market Data is advantageous.
- Experience with Collibra or equivalent governance platforms and strong knowledge of metadata, business glossaries, lineage and data catalogues.
- Knowledge of ownership/stewardship models, MDS/CDE governance, authoritative sourcing (ADO/ADS/ADD) and Data Quality controls.
Leadership & Communication
- Strong senior stakeholder management, influencing and challenge skills.
- Ability to communicate complex Data Management concepts to technical and non-technical audiences and provide clear executive-level reporting.
- Ability to operate independently, establish accountability and drive delivery without direct reporting authority.
- Strategic and analytical mindset combined with sound judgement, strong problem-solving skills and a willingness to operate hands-on.
Proven ability to leverage AI tools to enhance productivity, optimise workflows to solve business problems, while applying critical judgment to ensure responsible and ethical use of data and AI outputs.
How we’ll support you
- Training and development to help you excel in your career.
- Coaching and support from experts in your team.
- A culture of continuous learning to aid progression.
- A range of flexible benefits that you can tailor to suit your needs.
About us and our teams
Please visit our company website for further information:
https://www.db.com/company/company.html
We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively.
Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group.
We welcome applications from all people and promote a positive, fair and inclusive work environment.
