Senior Manager - Data Science

Company:

Oliver Wyman

Description:

We are seeking a talented individual to join our OW Tech team, a Marsh business. This role will be based in Gurugram/Noida/Mumbai/Pune. This is a hybrid role that has a requirement of working at least three days a week in the office.

Senior Manager - Data Analysis & AI Engineer

The Data Analysis & AI Lead is responsible for enabling data‑driven portfolio governance and decision‑making across the technology organization. This role owns portfolio data foundations, analytics, and AI use cases that support executive governance, performance management, delivery predictability, and innovation enablement. Acting as a bridge between portfolio leadership, delivery teams, and enterprise data platforms, the role transforms raw portfolio, financial, and delivery data into trusted insights, automation, and AI‑assisted decision support. The position is critical to scaling lighthouse initiatives, improving execution predictability, and shifting the PMO from descriptive reporting to forward‑looking, insight‑driven portfolio management

Key Responsibilities:

Data Governance & Foundations

• Define and maintain portfolio data governance standards, including data definitions, ownership, lineage, and quality controls.

• Ensure data consistency and integrity across portfolio, delivery, financial, and capacity data sources.

• Establish and maintain a single source of truth for portfolio reporting and analytics.

• Partner with enterprise data teams to align with data security, compliance, and architecture standards.

Analytics & Portfolio Insights

• Design and deliver portfolio analytics supporting governance, prioritization, performance tracking, and capacity planning.

• Develop executive‑level dashboards that provide decision‑ready views of portfolio health, risks, dependencies, and trends.

• Translate complex datasets into clear narratives, insights, and recommendations for leadership forums.

• Support performance KPIs and OKRs related to delivery, quality, financial signals, and value realization.

AI / ML Use Cases & Automation

• Identify, design, and implement AI and advanced analytics use cases aligned to portfolio needs, such as:

• Portfolio prioritization and scenario modeling

• Risk and dependency detection

• Capacity and demand forecasting

• Automated insight and narrative generation

• Drive automation of manual PMO activities, including data collection, reconciliation, and reporting.

• Evaluate emerging AI tools and techniques and scale successful pilots into standard portfolio practices.

Integration with Portfolio & Delivery Tools

• Integrate data across portfolio and delivery tools (e.g., Planview, ADO, ServiceNow, financial systems).

• Enable analytics that connect strategy, funding, capacity, and execution into cohesive portfolio views.

• Support tooling standardization and prevent fragmented or duplicated analytics solutions.

Stakeholder Enablement & Adoption

• Enable stakeholders to interpret and trust data, providing guidance on insights, limitations, and implications.

• Support executive and PMO forums with analytics‑driven materials and recommendations.

• Promote a data‑ and AI‑driven culture within the PMO and broader technology organization.

Required Qualifications & Experience

Education:

• Bachelor's degree in Data Science, Computer Science, Engineering, Information Systems, or related field.

• 5-7 years of experience in data analytics, business intelligence, or AI enablement in enterprise environments.

• Demonstrated experience supporting portfolio, PMO, technology, or delivery organizations.

• Master’s degree in Data Science, Analytics, AI, or related field is a plus.

• Following Certifications are strongly preferred:

  • Microsoft Power BI / Fabric

  • Databricks

  • AI/ML or data engineering certifications

Technical Skills

• Strong experience with data modeling, analytics, and visualization.

• Hands on expertise with tools such as:

• Power BI (or Tableau)

• Databricks or equivalent analytics platforms

• SQL and/or Python

• Experience integrating data from multiple enterprise systems.

• Understanding of AI/ML concepts and practical application in business contexts.

Business & Portfolio Acumen

• Strong understanding of portfolio management, delivery metrics, and governance concepts.

• Ability to connect analytics outputs to executive decisions and tradeoffs.

• Comfort working with ambiguity and evolving requirements in transformation environments.

Experience required:

• Bachelor’s degree in Finance, Accounting, Information Technology, Project Management, Business Administration or a related field

• 5+ years of project management experience and 2+ year of experience in managing large portfolios and portfolio-level financial responsibilities.

• Demonstrable experience managing project budgets, financial forecasting, variance analysis, or financial modeling.

• Full knowledge of project management methodologies (Agile, Waterfall, etc.) and tools (e.g., Planview, ADO, Trello, etc.).

• Knowledge of current trends in project management, including data-driven decision-making (data models / AI), risk management, stakeholder satisfaction and benefits realization.

• PMP or Scrum Master certification is preferred. Finance-related certifications (e.g., CIMA, ACCA, CFA or equivalent) or demonstrable finance experience are a strong advantage.

Why join our team:

• We help you be your best through professional development opportunities, interesting work and supportive leaders.

• We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities.

• Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being.

Marsh (NYSE: MRSH) is a global leader in risk, reinsurance and capital, people and investments, and management consulting, advising clients in 130 countries. With annual revenue of over $27 billion and more than 95,000 colleagues, Marsh helps build the confidence to thrive through the power of perspective. For more information, visit corporate.marsh.com, or follow us on LinkedIn and X.

Marsh is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law.

Marsh is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one “anchor day” per week on which their full team will be together in person.