Experience: 8 - 13 Years

Must Have

Strong Data Metrics - minimum of 8 years' experience
Data Visualization (Power BI, Tableau, etc.) - minimum of 8 years' experience
IAM knowledge - beneficial but not mandatory
In-depth understanding of Data Reporting - minimum of 8 years' experience
8 - 13 years of total experience in related roles

Job Description

Minimum of 7 years in data engineering, risk metric modeling, and identity data.
Over 5 years of experience with both relational databases and distributed systems, including Snowflake.
Extensive experience with data visualization tools like Tableau and Power BI.
Strong conceptual and analytical skills.
Capable of simplifying complex identity data stories for senior executives and stakeholders through reports.
Proficiency in various metrics such as KRIs, KPIs, KCIs, and OKRs.
Comfortable in a dynamic, agile, and collaborative environment.
Excellent communication skills, especially in supporting teams as an identity data SME (Subject Matter Expert).

Qualifications

Bachelor's degree in Computer Science, Data Science, or related field.
Master's degree is preferred.
Relevant professional certifications in data engineering and visualization (e.g., Certified Data Management Professional).
Proven ability to handle large, complex data sets and perform detailed data analysis.
Strong problem-solving and critical thinking abilities.
Excellent written and verbal communication skills.
Ability to collaborate effectively with cross-functional teams.

Preferred

Experience with various programming languages and data orchestration tools.

Responsibilities

Lead the orchestration and definition of a collection of IAM metrics, including IAM organization OKRs, IAM security risk metrics, IAM operational metrics, and IAM service delivery and adoption metrics.
Work with IAM teams to create effective measures for their areas (e.g., operations, engineering) and integrate these into broader IAM metrics reporting.
Develop, maintain, and communicate a metrics roadmap to showcase IAM metrics' progress and maturity.
Collaborate with IAM Service teams to enhance and remediate metrics as needed.
Work with IAM Service Leads to increase the IAM organization's visibility of identity data across the company.
Prioritize data pipelines based on risk visibility to influence demand processes.
Ensure complete and accurate data visibility for risk metrics by partnering with the IAM Engineering team.
Perform manual data analyses and metric illustrations while awaiting automation solutions.
Act as a metrics and data SME for the IAM Security & Governance team and IAM Service Leads as needed.
Serve as an identity data SME for data engineers throughout the IAM organization.
Design, build, and manage executive and stakeholder reporting of IAM metrics.
Support stakeholder discussions about metric outcomes when necessary.
Conduct routine data quality checks to ensure data integrity for IAM metrics.
Utilize advanced analytical thinking to make informed judgments and find innovative solutions.

Skills: snowflake,kris,identity data,okr,data metrics,kcis,kpi,iam,problem-solving,relational databases,risk metric modeling,kci,distributed systems,analytical skills,critical thinking,data reporting,communication skills,iam knowledge,data engineering,problem solving,risk,okrs,communication,kpis,power bi,data visualization,identity & access management (iam),tableau,kri,data orchestration

YO IT Group

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