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The opportunity
This position will be the Talent Insights & Analytics Subject Matter Expert for a critical new system launch within the Talent ecosystem. This role with work closely with the core project team and will own the Data & Insights
development. The consultant will lead data discovery, architecture assimilation, capability assessment, and insights enablement for the new platform, translating business and talent requirements into a clear data scope, roadmap, and initial insights capability. The role will work closely with cross-functional team to deliver foundational data pipelines, data assets, reports and insights to support system launch and early adoption. The focus is on establishing data readiness, accelerating time‑to‑value, and enabling a sustainable handover to steady‑state teams post‑launch.
The position is responsible to oversee the delivery of core reports and insights, including BAU reports, compliance/ legal reporting, strategic reporting, ad hoc analysis, technical / complex requests, management reporting / cross functional report development, ensuring that all outputs meet established quality and timeliness standards. As part of the insights scope, the consultant will also proactively develop and manage dashboards to facilitate consistent sharing of data and reports with the stakeholders. The role will further entail data engineering and visualization aspects to enable the translation of data into information and insight, which can be used to make business decisions. The Data and Insights Consultant may lead a team and serve as a critical escalation point for Data Engineers, Data & Insight developers, facilitating access to and transformation of data necessary for reporting and dashboard creation. The role will work closely with cross functional teams, including the Business Partnering and Advanced Analytics team to define and deliver on the roadmap.
Essential Functions Of The Role
- Establish Talent data and insights readiness for the new system at launch.
- Define and deliver the data & insights scope, roadmap, and priorities.
- Build foundational data engineering pipelines, data assets and core reporting.
- Act as the single point of accountability for TIA input into the program.
- Enable a clean transition to core Data & Insights teams
- Oversee the delivery of core reports and insights, ensuring adherence to quality and time standards.
- Manage complex, ad hoc report analytics requests, leveraging analytics expertise to meet client needs.
- Support the implementation of advanced and predictive reporting techniques for Talent Executive teams.
- Provide integrated and standardized data reports and dashboards to enhance insights.
- Implement processes to monitor health of reports, data accuracy and relevance, driving continuous improvement in reporting practices.
- Collaborate with resources across multiple teams/groups, and ensure consistent delivery of various reporting types, including BAU, compliance, strategic, and ad-hoc analyses.
- Configure and create new data/reporting solutions to meet operational and management demands.
- Utilize advanced technical skills in SQL, Power BI, Python to develop and optimize reporting solutions.
- Partner with data engineers to define transformations, semantic layers, and access patterns.
- Manage reporting portfolios, prioritizing requests based on business impact and resource availability.
- Engage with clients to gather feedback on reporting outputs and make necessary adjustments to enhance value
Analytical/Decision Making Responsibilities:
- Work as a core member of the program team, representing TIA across design, build, and testing phases
- Act as the primary analytics SME interface with product owners, system integrators/vendors, data platform team and talent stakeholders.
- Proactively surface data‑related risks, dependencies, and decision points
- Discover and document the existing data model, architecture, and integration points.
- Assess data availability, quality, lineage, and gaps against Talent reporting and analytics needs.
- Partner with ET, Data Strategy, System vendors, platform teams, and data engineers to validate end‑to‑end data flows. Translate system architecture into insights‑ready data designs
- Define the insights and reporting scope aligned to system launch and business priorities
- Develop a phased data & insights roadmap (launch / post‑launch / stabilization)
- Identify minimum viable reporting, critical metrics, and priority insights for Day‑1 readiness
- Ensure alignment with enterprise data standards, governance, and security requirements
- Share market insights and review findings with key stakeholders / networks influencing change as required
Knowledge And Skills Requirem