Anblicks
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Information Technology Support Services · 501 to 1000 Employees · Addison, US
Anblicks is a Cloud Data Analytics Company – Enabling Enterprises with Data-Driven Decision Making. Since 2004, Anblicks has been enabling customers across the globe, with their digital transformation journey. Anblicks is headquartered in Addison, Texas, and employs more than 500 technology professionals, data analysts, and data science experts in the USA, India, and Australia. Anblicks is committed to bringing value to various industries using CloudOps, Data Analytics, and Modern Apps. Global customers benefited from our Anblicks Ignite Enterprise Data Platform and Accelerators.
Hiring: Engineering
What employees say
+ Good hike, supportive, flexible work environment.
− sometimes need to work based on clients time.
More reviews on the company profile.
Interview experience · SQL Developer
1. Group Discussions 2. Aptitude Test 3. HR Round 4. Technical Interview .. 5. Managerial Round . . . . . . . . . .
Average difficulty · India · 15 reports
More interview insightsJob description
Overview
Delivery Manager - Data & AI Managed Services
Responsibilities
- Lead end-to-end delivery and operational management of enterprise Data & AI managed services engagements.
- Act as a trusted advisor to client executives, business stakeholders, and technology leadership teams.
- Drive strategic roadmaps for data modernization, AI enablement, analytics transformation, and operational optimization.
- Build and scale high-performing global delivery teams across onsite, nearshore, and offshore models.
- Own delivery governance including KPIs, SLAs, financial management, risk mitigation, escalations, staffing, and client satisfaction.
- Identify opportunities for account growth, expansion, innovation, and value-added services.
- Partner with client stakeholders to define and prioritize data products, business capabilities, and AI-driven use cases.
- Drive proactive consulting conversations around modernization, automation, data quality, governance, semantic models, and AI adoption.
- Lead architecture and solution discussions for modern cloud data platforms.
- Establish engineering best practices, reusable frameworks, accelerators, automation patterns, and operational excellence models.
- Mentor technical leads and other team members while fostering a culture of accountability, innovation, and continuous improvement.
- Collaborate closely with sales, pre-sales, architecture, and executive leadership teams on proposals, estimations, solutioning, and strategic pursuits.
Qualifications
- 10+ years of experience in enterprise data engineering, analytics, or data platform delivery.
- 5+ years leading large-scale managed services or consulting engagements.
- Proven experience managing complex global delivery teams across multiple geographies.
- Strong consulting mindset with the ability to engage executive stakeholders and drive business-focused outcomes.
- Deep expertise in Retail, Food & Beverage, and/or Entertainment industry domains.
- Strong experience building and operationalizing enterprise data products and analytics solutions.
- Demonstrated ability to drive account growth, innovation initiatives, and strategic transformation programs.
- Deep expertise in modern cloud data platforms and large-scale data ecosystems.
- Strong hands-on architecture and engineering knowledge in:
- Databricks
- Microsoft Azure ecosystem
- Azure Data Factory (ADF)
- Delta Lake & Medallion Architecture
- Data Lakehouse architectures
- PySpark / Spark optimization
- SQL and advanced data modeling
- Real-time and batch data processing
- Data governance and data quality frameworks
- CI/CD and DataOps practices
- API and integration patterns
- Strong understanding of enterprise architecture, scalability, security, observability, and platform operations.
- Operate as an owner and strategic leader, not just a project manager.
- Bring strong executive presence and communication skills.
- Drive innovation and challenge conventional approaches.
- Build trusted client relationships and become a strategic partner.
- Create a culture of engineering excellence, accountability, collaboration, and continuous learning.
- Inspire teams to deliver business outcomes with speed, quality, and operational rigor.
- Enterprise Retail organizations
- Restaurant / F&B brands
- Entertainment and hospitality companies
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Job application FAQ
Last updated 17 September 2026
- How do I apply for Data Engineering Manager at Anblicks?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Anblicks may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Data Engineering Manager role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Data Engineering Manager remote or on-site in Ahmedabad, Gujarat?
- This listing is marked on_site with location Ahmedabad, Gujarat. Confirm details on the job description before applying.
- What skills matter for this Data Engineering Manager role at Anblicks?
- Key skills for this role include skills listed in the job description. Upload a resume to see which requirements you already meet and which are gaps.