Facile - Data Operations Consultant

4 weeks ago

Pune, Maharashtra, India Facile Services Pvt Ltd Full time

Data Operations Lead

Job Description :

Looking to hire a Data Operations professional to lead and unify our data teams in a fast-paced, campaign-driven environment.

In this on-site role, based at our Pune office, you will oversee three previously siloed teams Data Engineering, Database Administration, and Contact Discovery totaling 3050 professionals. You will be responsible for crafting and executing a comprehensive data strategy that ensures the quality, maintenance, and timely availability of lead data to support daily operations and long-term growth.

The ideal candidate is a seasoned leader with a passion for data and experience managing large datasets. You should be ready to drive clarity, accountability, and innovation across all data verticals, with a strong focus on delivery-readiness and operational Responsibilities :

- Team Leadership & Unification : Lead the Data Engineering, Database Administration, and Contact Discovery teams under a single cohesive vision.

- Promote collaboration, set clear goals, and drive accountability across all data functions.

- Data Strategy & Governance : Own and evolve our internal data strategy.

- Ensure proper governance, refresh cycles, documentation, and secure handling of high-volume lead data sets.

- Data Pipeline Management : Oversee database workflows and pipeline optimization in collaboration with engineering resources.

- Enhance ETL/ELT processes and systems to scale effectively with campaign volume.

- Contact Discovery Operations : Guide the contact discovery team in identifying relevant decision-makers and leads when internal databases are insufficient.

- Set standards for precision, relevance, and turn-around-time of lead generation support.

- Campaign Data Readiness : Ensure timely delivery of clean, compliant, and targeted datasets for campaigns.

- Collaborate with operations and quality teams to ensure data aligns with campaign specifications.

- Cross-Functional Collaboration : Act as a strategic partner to operations, sales, and client delivery teams.

- Ensure proactive data readiness for live and upcoming campaigns.

- Gap Identification & Innovation : Continually monitor data coverage, detect gaps across industries, job titles, or geographies, and implement initiatives to enrich lead data using compliant and scalable methods.

- Quality Control & Compliance : Implement checks to maintain data integrity and ensure all practices comply with applicable data regulations and client expectations.

- Reporting & Performance Optimization : Track team KPIs like data delivery timelines, volume, and accuracy.

- Present actionable insights to management and continuously drive improvements in data availability and Qualifications & Skills :

- Proven experience (8+ years) leading data operations or database functions, preferably within a high-volume, campaign-led delivery environment.

- Hands-on knowledge of SQL and Python for querying, automation, and analytics.

- Experience designing and managing data pipelines, database workflows, and structured data warehouses.

- Demonstrated leadership in managing multiple data verticals and mid-sized teams (25+ people).

- Strong experience with LinkedIn Sales Navigator and other tools used for contact discovery and prospect research.

- Deep understanding of how data operations support sales, marketing, and client success in a high-velocity campaign model.

- Analytical mindset with high attention to detail and comfort working with large, dynamic datasets.

- Excellent communication skills and ability to coordinate with technical and non-technical stakeholders.

- Self-motivated, process-oriented, and proactive in identifying and solving data challenges at scale.

Preferred Qualifications :

- Bachelors or Masters degree in Computer Science, Data Science, Information Systems, or related fields.

- Prior experience in lead generation, marketing tech, or data-intensive service delivery domains.

- Familiarity with cloud-based data systems (e.g., AWS, BigQuery) and BI tools (e.g., Tableau, Power BI).

- Exposure to data integration tools, APIs, or CRM syncing.

- Experience working in high-growth environments or startups.

(ref:hirist.tech)

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