
Data Delivery Manager is responsible for managing and overseeing the end-to-end delivery of data
solutions, from data architecture and ingestion to processing, analysis, and reporting. This role
ensures that data projects are completed on time, within scope, and aligned with business
objectives. The Data Delivery Manager works with cross-functional teams, including data
engineers, analysts, and other stakeholders, to deliver high-quality data solutions. Key
Responsibilities: Project and Program Management: o Lead and manage the delivery of data-
driven projects, ensuring they are completed on time and within budget. o Develop and maintain
project plans, timelines, and resource allocation. o Monitor project progress and proactively
identify risks, implementing solutions to ensure successful project completion. o Ensure alignment
between data initiatives and business goals, maintaining continuous communication with
stakeholders. Stakeholder Engagement: o Serve as the primary point of contact between business
stakeholders and the data team, translating business requirements into technical specifications. o
Collaborate with business leaders to understand data needs and develop solutions that meet
those needs. o Provide regular updates on project status, risks, and key deliverables to
stakeholders and leadership teams. o Facilitate meetings to gather requirements and
communicate project milestones. Data Strategy & Architecture: o Oversee the design and
implementation of data solutions that support business objectives. o Ensure adherence to data
governance and quality standards throughout the data pipeline lifecycle. o Collaborate with data
architects to define scalable, secure, and high-performance data architectures. o Support data
integration initiatives across different platforms, ensuring smooth and efficient data flow. Team
Leadership and Development: o Manage cross-functional teams of data engineers, analysts, and
other professionals to deliver projects effectively. o Provide leadership and mentoring to team
members, fostering a culture of collaboration, innovation, and continuous learning. o Set clear
expectations, performance goals, and career development opportunities for the team. o Address
and resolve any team challenges, ensuring high levels of productivity and motivation. Quality
Assurance: o Ensure the accuracy, reliability, and quality of data solutions by implementing robust
testing, validation, and review processes. o Develop and enforce data standards, best practices,
and methodologies to ensure consistent, high-quality deliverables. o Drive continuous
improvement initiatives, analyzing past projects and identifying areas for enhancement. Risk
Management and Troubleshooting: o Identify potential risks to project delivery, including data
pipeline issues, resource shortages, or technical blockers, and implement mitigation strategies. o
Troubleshoot and resolve data-related issues and challenges during the project lifecycle.
Reporting and Analytics: o Oversee the creation and maintenance of data dashboards, reports, and
performance metrics. o Ensure that data solutions provide actionable insights for the business,
driving informed decision-making. Experience: o 5+ years of experience in managing programs
related to data management, data engineering, or analytics. o Proven track record in managing
data projects and delivering data solutions in a timely manner. o Experience with data integration,
data warehousing, and data modeling. o Strong understanding of data pipeline management, ETL
processes, and data analytics. Skills: o In-depth knowledge of data management tools and
technologies (e.g., SQL, NoSQL, ETL tools, cloud platforms such as AWS, Google Cloud, or Azure).
o Proficient in project management methodologies (Agile, Scrum, Waterfall). o Strong leadership
and team management skills, with the ability to drive collaboration across different functions. o
Excellent communication skills with the ability to translate complex data-related concepts into
understandable terms for non-technical stakeholders. o Analytical mindset with strong problem-
solving abilities. o Knowledge of data visualization and reporting tools (e.g., Power BI, Tableau,
Looker) is a plus. Certifications: o Project Management Professional (PMP) or Scrum Master
certification (preferred). o Data-related certifications (e.g., AWS Certified Big Data, Google
Professional Data Engineer) are a plus. Preferred Skills: o Experience with big data technologies
(e.g., Hadoop, Spark, Kafka). o Familiarity with machine learning or AI applications related to data
solutions. o Experience with data governance and compliance (e.g., GDPR).

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The senior product manager will own end-to-end delivery of Synapisca’s AI based radiology products including defining scope, creating wireframes, creating execution plan, product launch, feedback incorporation and iterations. In this role you would not only get to flex your skills but also learn to thrive in a fast-paced start-up environment with a high degree of autonomy. This cross-functional leadership position requires you to work closely with the Engineering, Design, Category Management and Marketing teams to bring new products to life.
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- Building and executing new initiatives and roadmaps for retention and increasing customer lifetime value.
- Understand the healthcare market, customers and build business cases for new product opportunities.
- Listen to the users on a regular basis and figure out the opportunities to solve their problems.
- Manage product lifecycle from ideation to launch and beyond which would include liaising with multiple stake-holders.
- Work closely with partners and clients from 4 continents to localize the product builds as per their need and ensure adoption of the new features.
- Use data, creativity, and experimentation to constantly improve the product experience
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- Create and socialize artifacts that clearly communicate requirements including BRDs, user flows, and prototypes.
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Requirements
- 5+ years in software product management with a consistent record of timely and quality delivery of software products
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- Have Good understanding of funnels, agile & sprints, and wireframes.
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- Understand how the application functions and the technicalities around it.
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- Familiarity with Agile frameworks and regression testing
- Knowledge of using NoSQL/SQL, JMeter, Selenium
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MUST HAVE SKILLS
- CORE JAVA & SQL
Desired Skills
Designing, implementing and delivering high quality Software project in JAVA, SQL / Oracle, J2EE and other JAVA technologies.
Job Responsibilities
Participate in detailed level in design, coding, code walk through, peer code reviews and unit testing, System Testing, UAT, Demos, POCs, installation, maintenance of Software modules.
❑ Ensures the preparation of the following:
▪ Software prototype
▪ System Architecture
▪ Software Design Document
▪ User interfaces to be developed as per UX guidelines
▪ Code files ensuring coding guidelines followed
▪ Code review artefacts during peer code review
▪ Test plan and Test Cases
▪ Installation / Deployment document
▪ Release Document
▪ Technical Documentation
❑ Documents and demonstrates solutions by developing documentations, flowcharts, layouts, diagram, charts, code. comments and clear code; Ensuring that project task are completed in defined effort and timelines ❑ Prepares and installs solutions by determining and designing system specifications, standards & programming.
❑ Testing: Writing of test cases, unit testing, system testing, negative testing
❑ Trouble shooting: Log analysis and database query optimization
❑ Improves operations by conducting system's analysis.
❑ Updates job knowledge by studying state of the art development tools, programming techniques & computing equipment; participates in educational opportunities, reads professional publications & maintains personal networks.
❑ Protects operations by keeping information confidential.
❑ Provides information by collecting, analyzing and summarizing development and service issues. ❑ Develops software solution by studying information needs, conferring with users, studding system flow, data usage and work processes, investigating problem areas, following delivery cycle.
❑ Ensuring that the Newgen quality processes are in place and are followed.Interested Candidate kindly contact me



