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• Analysing medical processes and service quality
• Developing review parameters for quality assessment
• Improving care service delivery and patient experience
• Coordinating with inhouse team of 50 doctors 
• Coordinating with patients for managing grievances
• Creating reports for periodic reviews

Requirements:

• MBBS in Medicine with 1-4 years’ operational and/or administrational experience in a hospital/healthcare company. 
• Fluency in English
• Proficiency in MS office is a must.
• Problem solving attitude
• Post-graduation not required.
• Working Sundays 

However Candidates who are BDS, BAMS or BHMS with at least 2 years in healthcare operations and admin experience may also apply.

Director - Data engineering

What are we looking for

real solver?

Solver? Absolutely. But not the usual kind. We're searching for the architects of the audacious & the pioneers of the possible. If you're the type to dismantle assumptions, re-engineer ‘best practices,’ and build solutions that make the future possible NOW, then you're speaking our language.

Your Responsibilities

what you will wake up to solve.

1. Delivery & Tactical Rigor

• Methodology Implementation: Implement and manage a unified, 'DataOps-First' methodology for data engineering delivery (ETL/ELT pipelines, Data Modeling, MLOps, Data Governance) within assigned business units. This ensures predictable outcomes and trusted data integrity by reducing architecture variability at the project level.
• Operational Stewardship: Drive initiatives to optimize team utilization and enhance operational efficiency within the practice. You manage the commercial success of your squads, ensuring data delivery models (from migration to modern data stack implementation) are executed profitably, scalably, and cost-effectively.
• Execution & Technical Resolution
• Technical Escalation: Serve as the primary escalation point for delivery issues, personally leading the resolution of complex data integration bottlenecks and pipeline failures to protect client timelines and data reliability standards.
• Quality Enforcement
• Quality Oversight: Execute and monitor technical data quality standards, ensuring engineering teams adhere to strict policies regarding data lineage, automated quality checks (observability), security/privacy compliance (GDPR/CCPA/PII), and active catalog management.

2. Strategic Growth & Practice Scaling

• Talent & Scaling Execution: Execute the strategy for data engineering talent acquisition and development within your business units. Implement objective metrics to assess and grow the 'Data-Native' DNA of your teams, ensuring squads are consistently equipped to handle petabyte-scale environments and high-impact delivery.
• Offerings Alignment: Drive the adoption of standardized regional offerings (e.g., Modern Data Platform, Data Mesh, Lakehouse Implementation). Ensure your teams leverage the profitable frameworks defined by the practice to accelerate time-to-insight and eliminate architectural fragmentation in client environments.
• Innovation & IP Development: Lead the practical integration of Vector Databases and LLM-ready architectures into project delivery. Champion the hands-on development of IP and reusable accelerators (e.g., automated ingestion engines) that improve delivery speed and enhance data availability across your portfolio.

3. Leadership & Unit Management

• Unit Leadership: Directly lead, mentor, and manage the Engineering Managers and Lead Architects within your business unit. Hold your teams accountable for project-level operational consistency, technical talent development, and strict adherence to the practice's data governance standards.
• Stakeholder Communication: Clearly articulate the business unit’s operational performance, technical quality metrics, and delivery progress to the C-suite Stakeholders and regional client leadership, bridging the gap between technical execution and business value.
• Ecosystem Alignment: Maintain strong technical relationships with key partner contacts (Snowflake, Databricks, AWS/GCP). Align team delivery capabilities with current product roadmaps and ensure squad-level participation in training, certifications, and partner-led enablement opportunities.

Welcome to Searce

The ‘process-first’, AI-native modern tech consultancy that's rewriting the rules.

We don’t do traditional.

As an engineering-led consultancy, we are dedicated to relentlessly improving the real business outcomes. Our solvers co-innovate with clients to futurify operations and make processes smarter, faster & better.

Functional Skills

1. Delivery Management & Operational Excellence

• Methodology Execution: Expert capability in implementing and enforcing a unified delivery methodology (DataOps, Agile, Mesh Principles) within specific business units. Proven track record of auditing squad-level adherence to ensure consistency across the project lifecycle.
• Operational Performance: High proficiency in managing day-to-day operational metrics, including squad utilization, resource forecasting, and productivity tracking. Skilled at optimizing team performance to meet profitability and efficiency targets.
• SOW & Risk Mitigation: Proven experience in operationalizing Statement of Work (SOW) requirements and identifying technical delivery risks early. Expert at mitigating scope creep and data-specific bottlenecks (e.g., latency, ingestion gaps) before they impact client outcomes.
• Technical Escalation Leadership: Demonstrated ability to lead "war room" efforts to resolve complex pipeline failures or data integrity issues. Skilled at providing clear, rapid remediation plans and communicating technical status directly to regional stakeholders.

2. Architectural Implementation & Technical Oversight

• Modern Stack Proficiency: Deep, hands-on expertise in implementing Cloud-Native architectures (Lakehouse, Data Mesh, MPP) on Snowflake, Databricks, or hyperscalers. Ability to conduct deep-dive architectural reviews and course-correct design decisions at the squad level to ensure scalability.
• Operationalizing Governance: Proven experience in embedding data quality and observability (completeness, freshness, accuracy) directly into the CI/CD pipeline. Responsible for technical enforcement of regulatory compliance (GDPR/PII) and maintaining the integrity of data catalogs across active projects.
• Applied Domain Expertise: Practical experience leading the delivery of high-growth solutions, specifically Generative AI infrastructure (RAG, Vector DBs), Real-Time Streaming, and large-scale platform migrations with a focus on zero-downtime execution.
• DataOps & Engineering Standards: Expert-level mastery of DataOps, including the setup and management of orchestration frameworks (Airflow, Dagster) and Infrastructure as Code (IaC). You ensure that automation is a baseline requirement, not an afterthought, for all delivery teams.

3. Unit Management & Commercial Execution

• Unit & Team Management: Proven success in leading and mentoring Engineering Managers and Lead Architects. Responsible for the operational metrics, technical output, and career development of the business unit's talent pool.
• Offerings Implementation & Scoping: Expertise in translating service offerings (e.g., Data Maturity Assessments, Lakehouse Builds) into accurate project scopes, technical estimates, and resource plans to ensure delivery is both profitable and competitive.
• Talent Growth & Mentorship: Functional ability to implement growth frameworks for data engineering roles. Focus on hands-on coaching and scaling high-performance technical talent to meet the demands of complex, petabyte-scale environments.
• Partner Enablement: Functional competence in managing regional technical relationships with major partners (Snowflake, Databricks, GCP/AWS). Drives squad-level certifications, joint technical enablement, and alignment with partner product roadmaps.

Tech Superpowers

• Modern Data Architect – Reimagines business with the Modern Data Stack (MDS) to deliver data mesh implementations, insights, & real value to clients.
• End-to-End Ecosystem Thinker – Builds modular, reusable data products across ingestion, transformation (ETL/ELT), governance, and consumption layers.
• Distributed Compute Savant – Crafts resilient, high-throughput architectures that survive petabyte-scale volume and data skew without breaking the bank.
• Governance & Integrity Guardian – Embeds data quality, complete lineage, and privacy-by-design (GDPR/PII) into every table, view, and pipeline.
• AI-Ready Orchestrator – Engineers pipelines that bridge structured data with Unstructured/Vector stores, powering RAG models and Generative AI workflows.
• Product-Minded Strategist – Balances architectural purity with time-to-insight; treats every dataset as a measurable "Data Product" with clear ROI.
• Pragmatic Stack Curator – Chooses the simplest tools that compound reliability; fluent in SQL, Python, Spark, dbt, and Cloud Warehouses.
• Builder @ Heart – Writes, reviews, and optimizes queries daily; proves architectures with cost-performance benchmarks, not slideware. Business-first, data-second, outcome focused technology leader.

Experience & Relevance

• Executive Experience: Minimum 10+ years of progressive experience in data engineering and analytics, with at least 3 years in a Senior Manager or Director -level role managing multiple technical teams and owning significant operational and efficiency metrics for a large data service line.
• Delivery Standardization: Demonstrated success in defining and implementing globally consistent, repeatable delivery methodologies (DataOps/Agile Data Warehousing) across diverse teams.
• Architectural Depth: Must retain deep, current expertise in Modern Data Stack architectures (Lakehouse, MPP, Mesh) and maintain the ability to personally validate high-level architectural and data pipeline design decisions.
• Operational Leadership: Proven expertise in managing and scaling large professional services organizations, demonstrated ability to optimize utilization, resource allocation, and operational expense.
• Domain Expertise: Strong background in Enterprise Data Platforms, Applied AI/ML, Generative AI integration, or large-scale Cloud Data Migration.
• Communication: Exceptional executive-level presentation and negotiation skills, particularly in communicating complex operational, data quality, and governance metrics to C-level stakeholders.

Join the ‘real solvers’

ready to futurify?

If you are excited by the possibilities of what an AI-native engineering-led, modern tech consultancy can do to futurify businesses, apply here and experience the ‘Art of the possible’. Don’t Just Send a Resume. Send a Statement.

You will be our first marketing hire, and will be responsible for laying the foundation of our marketing DNA described above.

• Conceptualize from scratch our multi pronged marketing strategy - SEO (blog, newsletter), social media (linkedin, twitter), community, education (webinars, podcasts), partnerships etc
• Understand our user/buyer persona, empathize with them, conceptualize relevant content topics, and work with content writers to push high quality content on various platforms
• Identify the right keywords for Zenskar to optimize on - both head, and long tail
• Iterate to figure out the correct tone for our social media communication, and build relevant audience on social platforms
• Reach out to industry influencers, collaborate with them and organize webinars, podcasts etc with the intent to establish Zenskar as an authority in the industry
• Create a vibrant community of our user and buyer persona, with the intent to help solve the problems they face on a daily basis
• Hire as the team grows and mentor junior folks

Qualification: Doesn’t matter. Skills and experience do.

Objectives of this Role

• Own overall relationship with assigned clients, which includes managing on-boarding, implementation, training, increasing adoption, ensuring retention, and high levels of customer satisfaction
• Maintain and develop customer success strategies and best practices, as well as customer support content, with the help of the creative team
• Communicate effectively with both internal and external senior-level management to understand customer needs, maximize retention and growth, and communicate learnings

Daily and Monthly Responsibilities

• Serve as day-to-day contact for assigned accounts, building trust and rapport while identifying areas of opportunity, highlighting best practices, and documenting them
• Review the customer journey, identifying how it’s supported, taking a consultative approach in helping clients overcome issues and achieve goals
• Collaborate, problem solve, and/or strategize upcoming client meetings with team members
• Prepare necessary documentation or visuals for client to demonstrate performance of campaigns; analyze trends in NPS scores to identify areas of improvement
• Work with the sales and marketing team to drill customer references and develop case studies

Requisites

• 0-3 years of experience in communications, marketing, sales, account management, or customer success
• Strong verbal and written communication, strategic planning, and project management skills
• Analytical and process-oriented mindset
• Comfortable working across multiple departments in a deadline-driven environment
• Active team player, self-starter, and multitasker who can quickly adjust priorities
• Readiness to travel to client location as and when required
•  

Work location:

Candidates must be based out of Mumbai. Work from office @ WeWork Malad.

Salary:

We highly value talent and experience. Competitive salary or better.

Note- 1) Only immediate joiners need to apply who can join in max 15 days.
           2) WFH avaialble

job profile:

1. 4 to 6 years of experience in UI Development
2. Proficient understanding of JavaScript libraries and frameworks, specifically ReactJS
3. Proficient understanding of Flux Architecture (Redux)
4. Proficient understanding of React-Bootstrap
5. Proficient understanding of Angular JS
6. Proficient understanding of web markup, including HTML5, CSS3
7. Experience in working on integration with Magento 2 as backend.
8. Basic understanding of server-side CSS pre-processing platforms, such as LESS and SASS
9. Proficient understanding of client-side scripting and JavaScript frameworks, including jQuery
10. Good understanding of asynchronous request handling, partial page updates, and AJAX
11. Proficient understanding of cross-browser compatibility issues and ways to work around them.
12. Proficient understanding of code versioning tools, such as (Git / SVN)
13. Proficient understanding of JavaScript test frameworks like Mocha, Jasmine
14. Proficient understanding of module bundler (webpack)
15. Proficient understanding of JavaScript compiler (babel js)
16. Good understanding of nodejs
17. Proficient understanding of deployment process of client side application