Executive Practice Leader, Data and AI

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Job Description # Executive Practice Leader, Data and AIApex Systems is a leading global technology services business that incorporates industry insights and experience to deliver solutions that fulfill our clients’ digital visions. We provide a continuum of services, including strategy and enablement, innovation and productivity, and technology foundations to drive better results and bring more value to our clients. Apex transforms our customers with modern enterprise solutions tailored to the industries we serve.

Apex has a presence in over 70 markets across North America, Europe, and India. Apex is a part of the Commercial Segment of ASGN Incorporated (NYSE: ASGN). To learn more, visit . At Apex Systems, we prioritize professional development, work-life balance, and fostering a collaborative culture. We value our teams well-being and recognize the importance of building strong relationships. Thats why we organize regular team-building events and philanthropic days to give back to the community - fostering a sense of purpose and fulfillment among our team.

* Lead, mentor, and develop delivery leadership (e.g., practice directors, managing consultants, solution architects).
* Attract and retain top consulting and technical talent, building a high-performing, collaborative culture.
* Drive professional development to advance delivery skills and domain expertise by supporting the creation of internal accelerators, assets, and proof-of-concept (POC) demos.
* Identify delivery risks early and implement mitigation strategies.
* Ensure compliance with contractual commitments, security, and regulatory requirements.
* Drive the creation and maintenance of delivery artifacts that support and maintain best practices, standardization, and consistency in delivery.
* Oversee quality assurance processes to uphold the firm’s standards across all projects.
* Bachelor’s degree in computer science, Engineering, Data Science, or related field;
Master’s preferred.
* 15+ years of experience in technology consulting or systems integration, with at least 8 years in delivery leadership for Data and AI initiatives.
* Proven track record of architecting next-generation Data and AI solutions for global enterprise clients.
* Specialization in building modern data platforms and migrating data workloads to one or more cloud platforms (AWS, Azure, GCP).
* Extensive experience with data cloud platforms, particularly Databricks and Snowflake.
* Proficiency with a wide range of tools and technologies, including Kafka, Tableau, Splunk, Elasticsearch, Cloudera, Mongo

DB, and others.
* Strong understanding of Data and Analytics disciplines, including Data Engineering, Analytics and Visualization, Data Ops, and Master Data Management.
* Working knowledge of adjacent solution areas such as Cloud, Dev Ops, AI, and Cybersecurity as they pertain to Data and Analytics.
* Demonstrated experience delivering data services using Agile methodologies.
* Experience building and deploying GenAI projects, with preferred expertise in AI Governance, including LLMOPs, Fin Ops, and GRC
* Familiarity with cloud architectures (AWS, Azure, GCP) for AI and data solutions.
* Strong understanding of agentic AI frameworks and how they can be leveraged to modernize workflows, transform business operations, and unlock competitive advantage for our customers.
* Strong understanding of traditional data science & ML models and frameworks, particularly around data transformation and interoperability and MLOPs; preferred hands-on expertise
* Strong strategic thinking with the ability to translate vision into execution (i.e. ability to operate in a hands-on leadership capacity).
* Strong Executive-level client relationship management and influencing skills.
* Advanced knowledge of project/program management methodologies (Agile, hybrid, and traditional waterfall).
* Exceptional leadership, communication, negotiation, and decision-making skills.
* Financial acumen to manage budgets, forecasts, and profitability targets.
* Expected travel up to 20%.
* Competitive Salary
* Health, Dental and Vision Insurance
* Health Savings Accounts (HSA) with Employer Contribution
* Flexible Spending Accounts
* Long and Short-Term Disability
* Life Insurance
* Voluntary Benefits
* Employee Assistance Program
* Paid Parental Leave
* Wellness Incentives
* Vacation and Holiday Pay
* 401(k) Retirement Plan with Employer Match
* Employee Stock Purchase
* Training and Advancement Opportunities
* Tuition Reimbursement
* Birthdays Off
* Philanthropic Opportunities
* Referral Program
* Partial Gym Membership Paid
* Team Building Events
* Discount Programs
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