About the role
Job Description: Senior Data Analyst – AI-Driven Insights & SIAM Governance
Role: Senior Data Analyst (AI & Analytics)
Location: Offshore/India
Experience: 10+ years
Role Overview
We are seeking a highly experienced Senior Data Analyst with a strong background in AI-enabled data platforms (Palantir or similar), SIAM governance, and ITSM process analytics. This role is critical in building intelligent, scalable data frameworks that drive proactive decision-making, operational excellence, and service maturity.
The ideal candidate will combine deep analytical expertise, strong business acumen, and leadership capability to transform complex data into real-time, actionable insights. This individual will also play a pivotal role in leading a team of analysts and engaging with senior stakeholders and clients across the service lifecycle.
Key Responsibilities
AI-Driven Data & Analytics
- Design and implement AI-enabled data models to generate predictive and prescriptive insights.
- Leverage platforms like Palantir / Foundry / similar AI analytics tools to build ontology-based data models and decision intelligence frameworks.
- Develop automated insight generation pipelines to identify trends, anomalies, and optimization opportunities.
- Apply ML/AI techniques for service performance forecasting, risk prediction, and operational optimization.
Data Engineering & Modeling
- Build scalable, reusable data models and pipelines (ETL/ELT frameworks) for enterprise analytics.
- Perform data preparation, normalization, and ontological mapping for structured and unstructured datasets.
- Integrate data from ITSM tools (ServiceNow), Splunk, and enterprise platforms.
- Ensure data quality, governance, and standardization across systems.
SIAM Governance & ITSM Analytics
- Provide analytics and insights across ITSM processes, including:
- Incident Management
- Problem Management
- Change & Release Management
- Demand & Capacity Management
- Disaster Recovery (DR)
- Risk & Compliance Management
- Support SIAM governance frameworks, enabling:
- Vendor performance tracking
- Service integration reporting
- SLA/KPI monitoring and optimization
- Cross-supplier performance insights
- Own monthly governance reporting, including executive-level dashboards and narratives.
Monitoring, ing & Insights
- Design and implement real-time monitoring and ing frameworks using Splunk and analytics platforms.
- Define and optimize thresholds, KPIs, and proactive s.
- Detect anomalies and performance degradation patterns using AI/analytics.
Reporting & Visualization
- Build interactive dashboards and executive reports using:
- Power BI
- Splunk
- ServiceNow Reporting
- Excel (advanced analytics)
- Create custom dashboards (OOB + tailored) aligned with business units (e.g., CIO-based views).
- Drive data storytelling to influence decisions at leadership level.
Stakeholder & Client Engagement
- Engage directly with clients, business stakeholders, and leadership teams.
- Lead requirement gathering, solution design, and delivery lifecycle.
- Participate in governance forums, service reviews, and strategic meetings.
- Confidently present risks, trends, and improvement recommendations.
Leadership & Team Management
- Lead and mentor a team of Data Analysts / Analytics Engineers.
- Drive best practices in analytics, governance, and data strategy.
- Ensure team alignment to business priorities and delivery excellence.
- Foster a data-driven culture across teams.
Required Skills & Experience
Core Experience
- 10+ years in Data Analytics / Data Engineering / Analytics Consulting
- Prior experience in leading analytics teams
- Strong exposure to client-facing roles and delivery ownership
Technical Skills
- Expertise in:
- Palantir Foundry / AI-enabled analytics platforms (mandatory or strong preference)
- Splunk (advanced query writing & dashboarding)
- SQL, Data Modeling, ETL/ELT frameworks
- Power BI / Tableau / Reporting tools
- ServiceNow (ITSM, ITOM, CSM modules)
- Knowledge of:
- AI/ML concepts applied to analytics
- Ontology-based data modeling
- DataOps and data lifecycle management
Domain Expertise
- Strong understanding of:
- SIAM (Service Integration and Management) model
- ITSM frameworks (ITIL based):
- Incident, Problem, Change, Release
- Demand, Capacity Management
- DR (Disaster Recovery)
- Risk & Compliance
Behavioral Competencies
- Strong analytical and problem-solving mindset
- Ability to translate data into business value
- High level of ownership and accountability
- Excellent communication and storytelling skills
- Proactive in identifying gaps, risks, and improvements
- Ability to work independently and in leadership capacity
Qualifications
- Bachelor’s degree in: Computer Science / IT / Engineering / related field
- Advanced certifications in Data Analytics / AI / ITIL / ServiceNow are a plus
Key Differentiators (Preferred)
- Proven experience in:
- Building AI-driven insight platforms
- Working with Palantir Foundry or similar platforms
- Driving enterprise-wide governance analytics
- Leading end-to-end analytics transformation initiatives
Success Metrics
- Adoption of AI-driven insights in decision-making
- Accuracy and effectiveness of predictive analytics
- Improvement in service KPIs and operational efficiency
- Quality and usability of dashboards and reporting
- Stakeholder satisfaction and governance effectiveness